Alternatives to Solar Decide

Compare Solar Decide alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Solar Decide in 2026. Compare features, ratings, user reviews, pricing, and more from Solar Decide competitors and alternatives in order to make an informed decision for your business.

  • 1
    Clef

    Clef

    Cloudflare

    Clef is a 27B multimodal decision model that turns a state and a schema of typed questions into structured decisions. It can read state information as text, JSON, images, or video and return a probability for every allowed option of every question. The model supports a 65,536-token context window and vision inputs, allowing developers to evaluate both structured application data and visual content in the same decision workflow. Clef supports three typed question formats: noul for estimating the probability that a proposition is true, choice for selecting among predefined options and returning per-option probabilities, and score for evaluating an input against ordered criteria and producing a probability-weighted score. Applications can submit between 1 and 64 questions in a single request, with answers returned under the same question IDs.
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    Clef-flash

    Clef-flash

    Cloudflare

    Clef-flash is a fast 9B multimodal decision model that turns a state and a schema of typed questions into structured decisions. It can read state information as text, JSON, images, or video and returns a probability for every allowed option of every question. The model supports a 24,576-token context window and vision input, allowing developers to evaluate structured application data and visual content within the same workflow. Clef Flash supports three typed question formats: noul for estimating the probability that a proposition is true, choice for selecting among predefined options with per-option probabilities, and score for evaluating an input against ordered criteria and returning a probability-weighted score. Applications can submit from 1 to 64 questions in a single request, with answers returned under the same question IDs. Example uses include deciding whether a support request is urgent, routing it to the correct team, and scoring the severity of customer impact.
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    Laya AI

    Laya AI

    Laya AI

    Laya AI is an open source family of non-autoregressive System 1 decision models built for fast, typed decisions instead of free-form text generation. Given a state and structured questions, Laya evaluates them in a single forward pass and returns outputs that application code can use directly. It supports three decision types: choice, which selects among named options and returns probabilities; score, which places an input on an ordered rubric such as urgency or severity; and noul, which estimates the probability that a proposition is true. Laya is designed for workloads such as agent and model routing, support ticket triage, guardrails, intent classification, risk and fraud scoring, workflow escalation, RAG filtering, moderation, and phishing detection. It can route requests by department, score urgency, flag refund or churn signals, detect policy or abuse conditions, and escalate uncertain cases to a larger model or human reviewer.
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    Liquid d1

    Liquid d1

    Liquid AI

    d1 is Liquid AI’s first decision model, built to answer structured questions about a situation with probabilities rather than generating text. It takes unstructured data such as text, images, or both, along with one or more questions, processes them in a single forward pass, and returns probabilities without generating output tokens. d1 supports three question types: noul for yes-or-no decisions, choice for selecting among labels with a probability for each option, and score for placing an input on an ordered scale using probability-weighted levels. Multiple questions can be evaluated against the same state in one request, making it useful for real-time decision workflows. Liquid AI demonstrates d1 across applications such as filtering support tickets, browsing code repositories, organizing documents into smart folders, operating websites, compacting agent context, inspecting industrial parts, and playing games from screenshots.
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    Microsoft-Decision-1
    Microsoft-Decision-1 is a fast decision-scoring model built for structured outputs that software can immediately act on. It is designed for routing, classification, prioritization, verification, and workflow control across applications, agents, and automated systems. The model is post-trained from Qwen3.5-9B for single-pass decision scoring and, when given a fixed set of answer options, returns a calibrated probability for each one. It supports yes/no, multiple-choice, rating, and rubric-based grading of AI responses and agent actions through a structured API. Microsoft evaluated the model across 36 benchmarks covering routing, ranking, long context, multilingual and out-of-distribution tasks, reasoning, and safety, and reports that it achieved the highest accuracy in that comparison while also delivering very low latency. The model is also designed for robustness, with testing focused on keeping decisions stable when prompts are paraphrased.
    Starting Price: $0.042 per 1M tokens
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    Jev

    Jev

    TypeSafe AI

    Jev is a System One Model from TypeSafe AI designed for fast, structured decision-making inside software and automated workflows. Unlike conventional large language models that generate free-form text token by token, Jev accepts unstructured state and returns predefined type-safe values with calibrated probabilities and confidence scores. The model uses a parallel sampling architecture and a training approach called Reinforcement Learning for Calibrated Decisions, which is optimized for producing reliable probabilistic decisions rather than conversational responses. Jev is intended for tasks such as classification, routing, scoring, extraction, branching logic, verification, guardrails, and other AI-powered workflows where structured outputs can plug directly into application code. TypeSafe reports end-to-end response times ranging from about 70 to 500 milliseconds and says Jev can be substantially faster and more efficient than frontier language models on System One-style workloads.
    Starting Price: Input: $0.042 / 1M tokens
  • 7
    OpenAI Decisions API
    The Decisions API turns text and images into typed decisions an application can use, evaluating inputs about 10x faster than the Responses API. Developers provide a model, shared input evidence, and one or more questions describing what should be evaluated, and the API returns structured answers that can be used to classify content, route requests, prioritize work, or make threshold-based decisions. It supports three question types: predicate checks whether a condition is true and returns a probability from 0 to 1; choice selects one value from a fixed set and returns option probabilities and confidence; and score evaluates an input against ordered rubric levels and returns a probability-weighted score. Inputs can be plain text or user messages containing both text and images, allowing applications to evaluate cases such as visible product damage, request intent, document type, issue severity, or answer relevance.
  • 8
    Perplexity Decider
    Perplexity Decider is a 27B decision model fine-tuned from Qwen3.8-27B for structured classification and multimodal decision tasks. Rather than generating unrestricted text, it takes an input state and a typed decision schema, then returns the selected result together with calibrated probabilities. The model supports choice decisions for selecting among predefined categories and noul decisions for estimating the probability of a yes-or-no condition. It can also accept images alongside text, allowing applications to make decisions from screenshots or other visual inputs. Example workflows include routing a support request to billing, technical support, or sales, and estimating whether a message expresses urgency. Perplexity reports an overall accuracy of 85.71% across 11 benchmarks, including FinancialPhraseBank, RAGTruth, JudgeBench, TabFact, ContractNLI, Circa, Belebele, and TruthfulQA binary.
  • 9
    Perplexity Decisions API
    Perplexity’s Decisions API is built for fast, structured decisions that software can use directly. Instead of generating free-form text, it reads natural-language text, JSON, or images as shared state and returns typed answers with probabilities. Developers can attach one or more named questions to the same input and choose among three question types. noul handles yes-or-no judgments and returns the probability of yes from 0 to 1. choice selects from developer-defined options and returns the most likely option, the probability of every option, and a confidence score. score evaluates content against an ordered rubric and returns a probability-weighted score, the full probability distribution, and confidence. The API is designed for tasks such as classification, routing, grading against a rubric, severity assessment, sentiment analysis, or any decision that can be compared against a threshold.
  • 10
    Span-01

    Span-01

    Respan

    Span-01 is a hyper-parallel reasoning classifier built to detect complex behaviors across long production traces in a single forward pass. Rather than generating tokens sequentially, it reasons over natural-language behavior definitions and returns direct probabilities for present, absent, and not_observable. The model is trained for general classification reasoning with RLAIF before being specialized for behavior detection, allowing it to apply previously unseen definitions to new behaviors and domains instead of relying on a fixed taxonomy. At inference time, hyper-parallel definition branches evaluate multiple behaviors against the same trace context simultaneously, while hybrid attention helps preserve reasoning over long, complex inputs. Span-01 is designed for production monitoring across safety, reliability, grounding, agent behavior, and response quality, including jailbreak and prompt injection detection, privacy, and secrets.
    Starting Price: $199 per month
  • 11
    Strands Decider

    Strands Decider

    Strands Labs

    Strands Decider is a small, fast decision model, or System One model, built for agentic AI workflows. Unlike an LLM that generates arbitrary text, it chooses between predefined options, answers yes-or-no questions, or rates inputs on an ordered scale. Each decision includes calibrated confidence, making it possible to send uncertain cases to a larger model or a human while handling routine decisions quickly. The first model in the family, strands-decider-2B, has 1.9 billion parameters and is based on a Qwen3.5-2B-Base torso with its language-modeling head replaced by a lightweight pointer head. It evaluates answers in one forward pass without text generation or a decoding loop. Supported decision types include choice, noul for probability-of-true questions, and score for ordered scales. The model is designed for tasks such as model routing, tool selection, tool-argument checking, request triage, grounding and safety guardrails, policy classification, and low-cost evaluation.
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    SubQ Snap

    SubQ Snap

    Subquadratic

    SubQ Snap is a long-context decision model for enterprise and agentic workflows, built to make structured decisions quickly over large amounts of information. It handles tasks such as choosing which files are relevant, selecting the next tool, checking whether a result passes, deciding whether a workflow should continue, and determining when a frontier model is needed. Instead of generating open-ended text, Snap takes context, a question, and a finite set of allowed answers, then returns a probability distribution over those answers. It supports up to 384K tokens of mixed text and image context, allowing it to reason over codebases, contracts, interaction histories, logs, screenshots, charts, diagrams, and scanned pages in a single call. Powered by Subquadratic Sparse Attention, Snap reduces the cost of reading long inputs while a decision head maps contextual representations directly to admissible answers without autoregressive generation.
    Starting Price: $0.05 per million input tokens
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    Tev1

    Tev1

    Together AI

    Tev1 is a fast decision and classification model built by Together AI and fine-tuned from Qwen3.5 4B. It is designed around a simple interface: provide a piece of state, a question, and 2 to 24 labeled options, and the model returns exactly one letter that software can map back to a semantic key. This structure supports production tasks such as routing support tickets, evaluating automated returns, applying policy rules, rating sentiment, categorizing documents, and inserting deterministic decision points into larger agent pipelines. The model has 4.7B parameters, a 32.8K-token context window, and runs with non-thinking generation for fast, predictable classification. It was trained on 37,840 examples spanning intent detection, boolean comprehension, sentiment, policy application, routing, news categories, and research-paper taxonomy. Recommended settings use temperature 0 and a very small output budget so responses remain stable and easy to parse.
    Starting Price: $0.04 per 1M tokens
  • 14
    DecisionsApi

    DecisionsApi

    DecisionsApi

    DecisionsApi is a developer-focused AI platform for testing decision models in an online playground and integrating them through an API. Developers provide text, JSON objects, or arrays of text as state, define typed Choice, Score, or Noul (yes/no) questions, and receive structured answers with probabilities, confidence, usage, and request details. The platform supports customer-request routing, agent next-step selection, evidence checks, safety gates, and human-review workflows, with API key management, usage history, and one shared credit balance across the playground and API.
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    Upstage AI

    Upstage AI

    Upstage.ai

    Upstage AI builds powerful large language models and document processing engines designed to transform workflows across industries like insurance, healthcare, and finance. Their enterprise-grade AI technology delivers high accuracy and performance, enabling businesses to automate complex tasks such as claims processing, underwriting, and clinical document analysis. Key products include Solar Pro 2, a fast and grounded enterprise language model, Document Parse for converting PDFs and scans into machine-readable text, and Information Extract for precise data extraction from contracts and invoices. Upstage’s AI solutions help companies save time and reduce manual work by providing instant, accurate answers from large document sets. The platform supports flexible deployment options including cloud, on-premises, and hybrid, meeting strict compliance requirements. Trusted by global clients, Upstage continues to advance AI innovation with top conference publications and industry awards.
    Starting Price: $0.5 per 1M tokens
  • 16
    Solar Pro 2

    Solar Pro 2

    Upstage AI

    Solar Pro 2 is Upstage’s latest frontier‑scale large language model, designed to power complex tasks and agent‑like workflows across domains such as finance, healthcare, and legal. Packaged in a compact 31 billion‑parameter architecture, it delivers top‑tier multilingual performance, especially in Korean, where it outperforms much larger models on benchmarks like Ko‑MMLU, Hae‑Rae, and Ko‑IFEval, while also excelling in English and Japanese. Beyond superior language understanding and generation, Solar Pro 2 offers next‑level intelligence through an advanced Reasoning Mode that significantly boosts multi‑step task accuracy on challenges ranging from general reasoning (MMLU, MMLU‑Pro, HumanEval) to complex mathematics (Math500, AIME) and software engineering (SWE‑Bench Agentless), achieving problem‑solving efficiency comparable to or exceeding that of models twice its size. Enhanced tool‑use capabilities enable the model to interact seamlessly with external APIs and data sources.
    Starting Price: $0.1 per 1M tokens
  • 17
    Syn

    Syn

    Upstage AI

    Syn is a next‑generation Japanese large language model co‑developed by Upstage and Karakuri, featuring under 14 billion parameters and optimized for enterprise use in finance, manufacturing, legal, and healthcare. It delivers top‑tier benchmark performance on the Weights & Biases Nejumi Leaderboard, achieving industry‑leading scores for accuracy and alignment, while maintaining cost efficiency through a lightweight architecture derived from Solar Mini. Syn excels in Japanese “truthfulness” and safety, understanding nuanced expressions and industry‑specific terminology, and offers flexible fine‑tuning to integrate proprietary data and domain knowledge. Built for scalable deployment, it supports on‑premises, AWS Marketplace, and cloud environments, with security and compliance safeguards tailored to enterprise requirements. Leveraging AWS Trainium, Syn reduces training costs by approximately 50 percent compared to traditional GPU setups, enabling rapid customization of use cases.
    Starting Price: $0.1 per 1M tokens
  • 18
    Simsurveys

    Simsurveys

    Simsurveys

    Simsurveys is an AI-powered synthetic survey and market research platform that generates research-grade synthetic survey data and panels in minutes rather than weeks by using AI models trained on real population studies to produce respondent-level datasets with realistic demographic, behavioral, and attitudinal patterns. It lets users build sophisticated questionnaires with quotas and logic, generate large synthetic respondent samples instantly, and export respondent-level files for analysis, eliminating the traditional need to recruit real participants or stitch together multiple tools. Simsurveys includes synthetic data generation from scratch, expanded data to boost sample sizes and fill demographic gaps, and real-time preference queries via an API that returns probability-weighted distributions for consumer insights on demand, and it also supports AI-moderated qualitative sessions that blend quantitative and qualitative research methods.
    Starting Price: $1,000 per research study
  • 19
    Terkel

    Terkel

    Terkel

    Terkel is a Q&A site that turns questions into articles featuring expert insights. Thought leaders from organizations like Google, Harvard, Airbnb, and more answer questions to get their insights featured in articles published on sites like GoDaddy, Zapier, SCORE, and more. Terkel automatically selects answers based on a variety of factors relating to expertise. The best way to have an answer selected is to stick to what you know best. If you have to Google the question, you should probably hit the "Skip" button. Learn more about how to improve your answers with this helpful blog post about getting started.
    Starting Price: $99 per month
  • 20
    Appraize

    Appraize

    Appraize

    Appraize analyzes a US residential property from its address and models eight exit strategies against the same figures: wholesale, fix and flip, buy and hold, BRRRR, subject-to, seller finance, lease option, and novation. Each analysis returns an after-repair value, line-item repair estimates calibrated to local market costs, and comparable sales drawn from MLS data with confidence scoring — in under 30 seconds. Most deal calculators model one strategy at a time, which requires choosing an exit before the numbers are known. Appraize returns the comparison itself, so a property that fails as a flip may still show as viable under a creative finance structure. Also includes an AI chat scoped to the individual deal, an offer letter generator, and a three-stage CRM for tracking properties through acquisition. Built for individual investors and small acquisition teams across the United States.
    Starting Price: $49/month
  • 21
    Portfolio Visualizer
    Portfolio backtesting simulates an investment strategy using historical data, allowing you to assess how well a portfolio would have performed in the past while analyzing risk and return. With Portfolio Visualizer, you can create and compare various portfolio models, aligning investments with financial goals. The tool supports portfolio optimization, helping users model the probability of different investment outcomes and understand the impact of risk. It also offers Monte Carlo Simulation to project future portfolio performance under various scenarios. Tactical models provide strategies based on moving averages, momentum, market valuation, and risk management for improved risk-adjusted returns. Designed to empower both individuals and institutions, Portfolio Visualizer turns sophisticated analysis into actionable insights explained by AI through text and video formats.
    Starting Price: $30 per month
  • 22
    GEMSCODE

    GEMSCODE

    GEMSCODE

    State Of the Art, Trading Indicator. Professional Trading Indicator. Simple & Accurate buy/sell signals. No false alarms. GEMSCODE Trading Indicator displays trends to identify high probability trades with Real Time Alerts.
    Starting Price: $53 per month
  • 23
    RUBiQ

    RUBiQ

    RUBiQ

    RUBIQ is a cloud-based platform utilizing the latest technologies to deliver a truly unique, comprehensive and dynamic Governance, Risk and Compliance (“GRC”) management system for any size organization, anywhere in the world. RUBIQ is quickly implemented, efficient to use, and affordable to organizations of all sizes. Easy establishment of customer maturity against standards, regulations and best practice. Benchmark against peers in sector or country (coming soon). Quicker to implement, resource light and more affordable than the competition (i.e. High Return on Investment). Combined gap assessments, intuitive workflows, on-demand advisory, policy and risk libraries and high configurability results in an easy to use and friendly platform. Connect with subject matter experts in an instant. Identify probable cause of incidents and the risks they relate to. Determine the probability of achieving objectives. Constantly evolving AI does the hard work.
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    Maroon.ai

    Maroon.ai

    Maroon.ai

    We enable commercial lenders globally to accurately assess the application creditworthiness and manage customer risk by deploying powerful, compliant credit models in an integration-friendly platform. Customizable dashboard for exec management, credit analyst and compliance teams. Calibrated for the probability of default and early-stage Delinquencies. Easy plug-n-play integrations and flexible deployment models. Deep learning models produce insights from disparate datasets. Access rolled-up risk assessment reports. Effective sales augmentation through leveraging our data cloud and predictive models to discover high propensity prospects and create winning engagement strategies through predictive intelligence and intent data. Deep account intelligence for over 16m businesses globally. Predictive scoring using custom modeling and intent generation. Access org charts and executive profiles. Integrates into your existing workflows.
    Starting Price: $499 per month
  • 25
    VivoSecurity

    VivoSecurity

    VivoSecurity

    Regulators and management need 3rd party assessment that are accurate and not based upon opinions or assumptions. VivoSecuiry enables our customers to satisfy regulators by assessing true 3rd party risk, which is the probability that one of their vendors will have a data breach, obsoleting the use of questionnaires, maturity scores and SOC2 reports. The risk from 3rd parties is from breaches caused by the sheer number of vendors. VivoSecurity quantifies this risk twice per year, with an aggregate forecast. We help senior management set risk appetite goals with a testable forecast of data breach frequency. We help cybersecurity teams identify the few vendors that represent most of the risk, we then quantify the value of mitigation. Finally, we satisfy regulators with an accurate and documented process for vendor assessment using an empirical and transparent regression model for probability of data breach.
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    Marco-o1

    Marco-o1

    AIDC-AI

    Marco-o1 is a robust, next-generation AI model tailored for high-performance natural language processing and real-time problem-solving. It is engineered to deliver precise and contextually rich responses, combining deep language comprehension with a streamlined architecture for speed and efficiency. Marco-o1 excels in a variety of applications, including conversational AI, content creation, technical support, and decision-making tasks, adapting seamlessly to diverse user needs. With a focus on intuitive interactions, reliability, and ethical AI principles, Marco-o1 stands out as a cutting-edge solution for individuals and organizations seeking intelligent, adaptive, and scalable AI-driven tools. MCTS allows the exploration of multiple reasoning paths using confidence scores derived from softmax-applied log probabilities of the top-k alternative tokens, guiding the model to optimal solutions.
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    Suikou AI

    Suikou AI

    Suikou AI

    Suikou AI is a global AI writing naturalizer (humanizer) with a built-in AI text detector. Paste AI-generated text and it rewrites it into natural, human-sounding prose in three registers — casual, academic, and business — in seconds. The detector scores any text for AI probability, perplexity, and burstiness so you know how "machine" your writing reads. Built by a Kyoto NLP researcher, Suikou AI's Japanese support is best-in-class: a morphology-aware engine that generic humanizers can't match, while working great across English and other languages too. Free tier covers 500 words/day; paid plans start at $9.99/mo, with a 50% student discount via .edu email verification.
    Starting Price: $9.99/month
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    Sup AI

    Sup AI

    Sup AI

    Sup AI is a multi-LLM platform that merges outputs from several top large language models, such as GPT, Claude, Llama, and more, to generate richer, more accurate, and better-validated answers than any single model could provide. It applies real-time “logprob confidence scoring,” analyzing each token’s probability to detect uncertainty or hallucination; when a model’s confidence falls below a threshold, the response is halted, helping ensure that delivered answers remain high-quality and trustworthy. Sup’s “multi-model fusion” then compares, contrasts, and consolidates outputs from different models, cross-verifying and synthesizing the best parts into a final result. Sup also supports “multimodal RAG” (retrieval-augmented generation) to incorporate external data (text, PDFs, images) into context-aware responses, giving the AI access to factual sources and helping it “never forget” relevant information.
    Starting Price: $20 per month
  • 29
    Market Ontology

    Market Ontology

    Market Ontology

    Market Ontology is an institutional‑grade macro, monetary‑policy and geopolitical intelligence platform. It synthesizes macro, markets and geopolitical data into a decision‑support platform aimed at analysts, portfolio managers and serious investors. It tracks central bank policy, recession‑probability models, cross‑asset flows, options analytics, AI‑driven scenario analysis and geopolitical risk monitoring.
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    ITVT Forecasting Tool

    ITVT Forecasting Tool

    IT Vision Technology

    Pipeline management in sales requires reliable and objective information regarding the order probability of individual sales opportunities. The Forecasting Tool supports the sales representatives in your company in their daily work. It can be adapted to your individual sales process. Depending on the information provided by the sales staff the tool calculates the corresponding probability in the background and stores it in the system. Next to the order probability the last change date is recorded as well, so that it can be ensured that all the information is up to date.
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    ToborFX

    ToborFX

    ToborFX

    ToborFX is the World’s Best MT4 EA. It’s advanced strategy exploits the mean reverting nature of Forex markets. This FULLY AUTOMATED robot gives stable returns with low risk hence is suitable for new as well as pro traders. Get the highest returns every single time in any market condition even during high impact news events. This EA is programmed with a very advanced and sophisticated logic in Mean Reversion trading strategy. Analyzes and trades only on high probability entries. Once entered closes the trades in average profits only. Advanced lot sizing and money management based on analysis of huge data points. It’s tested on years of data. There are also adjustable settings and preferences based on users choice, interest and risk tolerance levels.
    Starting Price: $49 per month
  • 32
    Shieldstral

    Shieldstral

    Mistral AI

    Shieldstral is a 3B open-weights, policy-adaptive multimodal safety classifier designed to evaluate text, images, and text-plus-image content using policies defined at inference time. Instead of relying on a fixed taxonomy of harm categories, it frames moderation as a binary question-answering task: users provide an instruction describing the evaluation context and strictness, a yes-or-no safety question, and the content to judge. The model reads the “yes” and “no” logits and converts them into a continuous, calibrated safety score, allowing applications to threshold or rank results by confidence rather than depend on a single discrete label. This formulation unifies prompt classification, response moderation, refusal detection, toxicity detection, and multimodal safety in one interface, while letting teams adapt policies without retraining the model. Shieldstral can evaluate prompts, responses, prompt-response pairs, images, and images with accompanying text.
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    TruckPay

    TruckPay

    TruckPay

    If you are a general contractor, a hauler, or an IOO doing asphalt, ready-mix, aggregates, or any other type of DOT work, then you probably already know that by the end of 2022, 43 / 50 states will either require or prefer that E-Tickets, rather than paper tickets, be used to confirm the pickup and delivery of materials on all road, bridge, tunneling, and even salting, and snow removal jobs. If you want to continue to play in this multi-billion dollar market, how will you comply with these requirements? TruckPay’s E-Tickets meet all federal and individual state DOT electronic ticketing requirements, for any type of bulk material movement. We fully integrate with all state DOT application programming interfaces, APIs, for transmitting the E-Ticket to the state DOT. We also fully support both company and third-party inspectors.
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    Forex Combo System
    Forex Combo was designed based on in-depth analysis of thousands of winning currency trades. The Forex Combo team recorded each trade and the strategy that delivered the profits. Scalping works because it matches high success probability trades with low risk. A consistent small-spread strategy slowly adds profitable trades boosting overall return. The Forex Combo System uses a scalping strategy that analyzed market trends to deliver trades with a high-probability of success. Currency markets offer clear, easily tracked data that can be analyzed in real-time. This data is visualized as trends that can be used for accurate market predictions. The Forex Combo System helps you profit by accurately watching for tell-tale market signs that signal sustained and profitable trends. It consists of 4 trading strategies in one system: Scalping, Trend Detection, Market Corrections, Range Detection. Forex COMBO System supports 4 currency pairs - EURUSD, GBPUSD, EURAUD and EURCAD
    Starting Price: $147 one-time payment
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    Riskion

    Riskion

    Expert Choice

    Riskion® is Expert Choice’s risk management tool designed for enterprises that want more than superficial or spreadsheet-based risk tracking. It provides a structured, disciplined process to identify risks, causes, events, and outcomes across the organization, then measure them using mathematically sound, ratio-scale evaluations rather than guesswork. Decision makers can engage stakeholders via collaborative input, crowdsource expertise, and visualize relationships among risk sources, triggers, and treatments. Riskion supports analysis of low and high probability events, scenario comparisons, and optimization of how resources are allocated to mitigate or control risk treatments. Visual models like “bow-tie diagrams” help illustrate risk paths and exposures. Overall, Riskion aims to improve accountability, provide reliable risk estimates, and accelerate decision making by reducing ambiguity and increasing clarity across the enterprise.
    Starting Price: $6,000/month
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    Lokad

    Lokad

    Lokad.com

    All possible futures must be considered; a probability for each possibility. All feasible decisions must be considered; possibilities vs. probabilities. Economic drivers must be used to prioritize feasible decisions. Being in control requires the automation of every mundane task. A Supply Chain Scientist must take ownership of the numerical results. Videos on Quantitative Supply Chain by Lokad. Demand forecasting, inventory optimization, pricing, and more. Weekly interviews with supply chain leaders, quick explanations on main concepts and structured lectures about the supply chain. The Quantitative Supply Chain represents a novel and disruptive perspective on the optimization of supply chains. It can be seen as a refoundation of many supply chain practices, in particular regarding inventory forecasting, and has been built to make the most of the latest statistical approaches and vast computing resources that are available nowadays.
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    Hunter

    Hunter

    Hunter.io

    Hunter lets you find professional email addresses in seconds and connect with the people that matter for your business. The Domain Search provides a list of the people working in a company with their name and email address, all found on the web. With 100+ million email addresses indexed, effective search filters and deliverability checks, it's Hunter's most powerful email-finding tool. Type a name and get the proven or most likely email address of this person. Find verified email addresses or get a confidence score in percentage. Save any email to your leads and export them or directly import them into your favorite CRM. Every email address has public sources you can check along with the last discovery dates. Find the email addresses of the professionals you want to contact one by one or in bulk. The Email Finder uses a large number of signals to find the proven or most probable email address of anyone in a fraction of a second.
    Starting Price: $49 per month
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    Mistral OCR 4

    Mistral OCR 4

    Mistral AI

    Mistral OCR 4 is a document extraction and understanding model built for enterprise search, RAG, domain-specific retrieval pipelines, and production-grade document intelligence. It extracts and structures content from a wide range of documents, moving beyond clean text and tables to return a structured representation of each page. Alongside extracted text, OCR 4 provides bounding boxes, typed-block classification, and inline confidence scores, helping downstream systems understand not only what the document says, but where each element sits, what role it plays, and how confident the model is in each region. Bounding boxes make in-context highlighting and reliable data pipelines possible, while block types and confidence scores support source-grounded citations, redactions, and human-in-the-loop verification. OCR 4 accepts common enterprise formats, including PDF, DOC, PPT, and OpenDocument, and supports 170 languages across 10 language groups.
    Starting Price: $2 per 1000 pages
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    GreyMatter

    GreyMatter

    GreyOrange

    The GreyMatter Warehouse Management Software system continuously solves to drive optimal decisions, efficient orchestration and rapid execution across the entire fulfillment operation–so you’re ready in real time for whatever the market has in store. As advanced Ai seamlessly integrates fulfillment software, smart robots and people—the system instantaneously models best decisions to drive optimal workflows and execution using machine learning and adaptive learning. GreyMatter perpetually stores high performing outcomes, factors and resources calibration of ‘what works best’. As every new scenario, with its level of character and complexity is instantaneously assessed in real time, high outcome formula histories are called up, tested, applied, rejected or fluidly calibrated for best fit and highest probable accuracy, efficiency and speed.
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    Trusted Options

    Trusted Options

    Trusted Options

    Trusted Options is a regulated FX quick options platform. It is regulated by the International Financial Market Relations Regulation Center (IFMRRC). Trusted Options offers high returns, with traders able to earn up to 95% in 60 seconds. Client funds are segregated for additional security. Binary options are a type of options contract in which the payout depends entirely on the outcome of a yes/no proposition. They typically relate to whether the price of a particular asset will rise above or fall below a specified amount. Binary options are generally considered a safe investment. However, as with all money instruments, it pays to do your research to guarantee you are dealing with a legitimate provider.
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    Lenz

    Lenz

    Lenz

    Lenz is an audit-grade fact-checking API for AI-drafted text, built for teams that need to check factual claims before customers or clients see them. It reads a draft, memo, model answer, or page of copy, extracts the factual statements that can be checked against independent public sources, and returns a result for each. Its workflow follows four API primitives: extract verifiable claims, assess them in bulk with a fast multi-model verdict, escalate uncertain statements to a full verification, and ask follow-up questions grounded in the verification. Full verification runs through a structured five-stage pipeline of framing, research, debate, panel review, and conclusion. Lenz searches public sources, scores evidence for authority, relevance, and recency, has models from multiple vendors argue both sides of a claim, and returns a verdict, confidence score, cited sources, and reasoning trace that users can audit.
    Starting Price: $7.99 per month
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    X0PA AI

    X0PA AI

    X0PA AI Pte Ltd

    X0PA AI-enabled Software as a Service (SaaS) Applicant Tracking system that aims to save significant time and cost in hiring and selections while ensuring accuracy of choices. X0PA also aims to achieve the highest level of objectivity in hiring while enhancing candidate retention, performance and person to job and organization fit. X0PA uses Artificial Intelligence (AI) and Machine Learning (ML) to source, score and rank talent to identify the best candidates for each company and role based on 3 key objective metrics: • CV relevance • Predictive candidate performance • Predictive candidate retention probabilities. Key Features: 1. Hiring Automation via Robotic Process Automation 2. Automated AI-Powered candidate sourcing 3. Automated Job Matching & Candidate Recommendations via AI-Powered Retargeting 4. AI-Enabled virtual hybrid assessment and video interviewing 5. Data Analytics and Insights for enhanced hiring decision making 6. Highly customizable
    Starting Price: $99 per user per month
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    FoodBucket

    FoodBucket

    FoodBucket

    Your kitchen staff does not need misplaced paper tickets or badly written handwritten notes to decipher. Regardless of what the order type is, the kitchen receives the order instantly on the Kitchen Display System. Bring all your business in one place. You can easily control various functions of all your F&B businesses like track the live status of sales, stock and inventory, menu items, and more from one extensive panel. Eliminate the probability of wrong orders. It involves customer’s consent before an order is punched. Allows staff to take orders by simply selecting food categories and items with zero complexity. Our expense tracker built right in the point of sale lets you track all your daily expenses made from the cash. Eliminate the probability of wrong orders. It involves the customer’s consent before an order is punched. Manage cash up to the last penny. Control procedures to help control food theft. Analysis and detailed expense reports.
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    Analytic Solver

    Analytic Solver

    Frontline Systems

    Analytic Solver Optimization - 100% upward compatible from the Excel Solver - handles every type and size of the conventional optimization problem (without uncertainty). Unlike other optimization software, it algebraically analyzes your model structure and maximally exploits multiple cores in your PC. You can solve nonlinear models 10 times larger, and linear models 40 times larger than the Excel Solver, get solutions much faster – and plug-in Solver Engines to handle up to millions of variables! Analytic Solver Simulation gives you easy-to-use, powerful Monte Carlo simulation and risk analysis, decision trees, and simulation optimization using Frontline’s advanced Evolutionary Solver. With 60 probability distributions plus compound distributions, automatic distribution fitting, rank-order and copula-based correlation, 80 statistics, risk measures and Six Sigma functions, multiple parameterized simulations and more.
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    SolarPlus

    SolarPlus

    SolarPlus

    SolarPlus is intelligent design, modelling and sales software for commercial and industrial (C&I), residential and off-grid solar and storage projects. From interval meter or consumption data it runs a feasibility assessment that prices and ranks solar-and-battery sizing options by return, then models commercial tariffs and demand charges and sizes and dispatches batteries and generators alongside solar, producing financial outputs including LCoE, NPV, IRR and lifetime cashflow. The same platform carries the approved design through proposal, online acceptance and installation handover, with a built-in CRM and no licensing cap on project size. Founded in Australia in 2011 and used worldwide.
    Starting Price: $2 per prospect
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    Carl

    Carl

    Carl

    At Carl, we support owners of small and medium-sized companies on their way to a successful company sale. Platform-based technology solutions provide our customers with an easy access to a unique buyer network. Carl offers SMBs customized options that for a long time were only available to large corporations. We promise our customers a company handover with a high probability of success, in which the wishes of the entrepreneur are paramount to us. 600,000 companies in the mid-market are in need of a successor. Carl brings all parties together, structures the sales process and thus enables a high closing probability. Every sale is individual. Despite this, or perhaps precisely because of this, the experience gained from numerous projects enables a process that is precisely tailored to your goals - from brand protection and purchase price maximisation to the preservation of hundreds of jobs. We make your priorities our own and put your success first.
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    OpenAI Output Detector
    This is an online demo of the GPT-2 output detector model, based on the 🤗/Transformers implementation of RoBERTa. Enter some text in the text box; the predicted probabilities will be displayed below. The results start to get reliable after around 50 tokens.
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    NetRisk

    NetRisk

    PMA Technologies

    In NetRisk, a risk's probability of occurrence can be un-correlated amongst the activities to which it has been assigned - and in fact, it can even be different. Therefore, this approach is more realistic for a risk response that affects activities scheduled years apart or at different project sites. Thanks to automated risk sensitivity analysis, NetRisk re-runs the entire simulation, each time removing the risk with the biggest impact. The result is a tornado chart showing the exact impact in days that each risk has on the project completion. By scheduling activities on early starts in every iteration, CPM risk analysis does not account for the impact of float use on project completion and therefore overestimates the probability of completion. With NetRisk, activities off the critical path can be started later to model resource leveling, progress pacing, or other strategic reasons, resulting in a more realistic model.
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    ASPEC

    ASPEC

    SalesWays

    ASPEC is the Getting Things Done of sales. Put all opportunities into ASPEC as you find them. ASPEC creates the sales specific cycle and sets the three fundamental skill phases.ASPEC values each opportunity by calculating the probability of winning. A unique and simple algorithm based on success of a win and the risks involved in the sales not going to completion. Accurate, consistent, and minimal user input. Using the probability of winning and the the time left to complete the sale, ASPEC automatically prioritizes every opportunity in your pipeline and keeps it up-to-date in real-time. Now you can confidently “work” the ASPEC prioritized list, knowing that you are not wasting time on bad deals, or working sure bets too early. ASPEC Expert Analysis checks the salesperson’s understanding and activity based on the specific environment for every opportunity and offers coaching and guidance on the best strategies to use.
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    Kavout

    Kavout

    Kavout

    Research backed and validated equity factors and signals, delivered as automated data-feed to systematic and quantitative investment professionals, that are timely and cost effective. A derived equity rating score between 0 and 9 with high K Scores indicating higher probability of out-performance. Quantitative buyside firms overlay K Score with their investment models as buy/sell signals. We applied machine learning methodologies and ranking algorithms of over 200 factors and signals including fundamental, price/volume and alternative data. Access the newest researched factors, anomalies, and signals in minutes rather than weeks. Save time and money to conduct research and validate factors in-house. Delivered as automated data-feed, long history, and broad coverage, all at your finger-tips. The benefit of an ETF with more control. Partner with Kavout to design index enhancing portfolios, or whether sector specific or cross-sector.