Alternatives to Laya AI
Compare Laya AI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Laya AI in 2026. Compare features, ratings, user reviews, pricing, and more from Laya AI competitors and alternatives in order to make an informed decision for your business.
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1
BigPanda
BigPanda
Aggregate data from all observability, monitoring, change and topology tools. BigPanda’s Open Box Machine Learning will correlate the data into a small number of actionable insights so incidents are detected in real-time, as they form, before they escalate into outages. Accelerate incident and outage resolution by automatically identifying the probable root cause of problems. BigPanda identifies both root cause changes and infrastructure-related root causes. Resolve incidents and outages faster. BigPanda automates and streamlines the incident response lifecycle across incident triage, ticketing, notifications, and war room creation. Accelerate remediation by integrating BigPanda with enterprise runbook automation tools. Applications and cloud services are the lifeblood of every company. When there’s an outage, everyone is impacted. BigPanda cements AIOps market leadership with $190M in funding, $1.2B valuation. -
2
WebPurify
WebPurify
World-Class Image Moderation & More. Discover a faster, more efficient way to keep user-generated content clean. Given the complexities associated with nuance and context, our human moderators are trained to flag violations that fall into the gray areas and make final image decisions that align with your brand standards. Our Automated Intelligent Moderation (AIM) API service offers 24/7 protection from the risks associated with having user-generated content on your brand channels—detecting and removing unwanted images in real-time. This one-of-a-kind solution delivers the best of automated and live moderation through a single, easy-to-use API. AI technology detects images with a high probability of containing undesirable content, limiting the volume that requires human review. The remaining images are then queued up for moderation by experts who are trained to flag any additional violations.Starting Price: $5 per month -
3
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. -
4
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. -
5
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.Starting Price: Free -
6
Microsoft-Decision-1
Microsoft
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 -
7
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 -
8
OpenAI Decisions API
OpenAI
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. -
9
Perplexity Decider
Perplexity
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.Starting Price: Free -
10
Perplexity Decisions API
Perplexity
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. -
11
Solar Decide
Upstage
Solar Decide is Upstage’s structured decision model, serving as a System One endpoint on Solar Mini 4. Instead of generating prose, it takes a state together with one or more typed questions and returns a choice, score, or yes/no answer with calibrated probabilities taken directly from the model. Each question is handled in a single forward pass, making the model suited to fast classification, routing, policy checks, prioritization, and other structured decision tasks. The choice type selects among predefined options and returns the selected option, individual probabilities, and confidence. The score type evaluates an input against ordered criteria and returns a probability-weighted score, legend, probability distribution, and confidence. The noul type returns the probability that a yes-or-no proposition is true. Multiple questions can share the same state in one request, and the state can be provided as text or any JSON value serialized into the prompt.Starting Price: $0.1 per 1M tokens -
12
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 -
13
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.Starting Price: Free -
14
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 -
15
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 -
16
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.Starting Price: $10 -
17
SupportLogic
SupportLogic
SupportLogic delivers a Cognitive AI Cloud purpose-built for enterprise customer service and support. It ingests unstructured signals from tickets, chat, voice, and email, then uses AI to detect urgency, sentiment, product issues, and revenue risk in real time. Its layered architecture—data extraction, signal detection, and a context engine—powers ambient AI agents that automate tasks like case summarization, escalation prediction, routing, account health scoring, and coaching. SupportLogic integrates with Salesforce, Zendesk, Snowflake, and Slack, enhancing existing systems rather than replacing them. The platform helps CX, support, and IT teams act earlier, coach smarter, reduce escalations, and improve resolution times. Built for enterprise scale, it offers SOC 2 certification, GDPR/CCPA compliance, and secure data isolation. Customers like Salesforce, NICE, and Databricks use SupportLogic to boost CSAT, retention, and operational efficiency. -
18
Wyllo
NoFraud
Wyllo is a risk intelligence platform for ecommerce that connects identity, behavior, and post-purchase signals across the full customer journey, from pre-purchase and checkout through returns, claims, and support. Instead of evaluating risk one transaction at a time, it unifies customer intelligence in a dynamic decision layer that gives teams end-to-end visibility into fraud and abuse across brands and channels, while connecting the behavior of the same user or cluster across orders and interactions. It is designed to help merchants make more confident, trust-based decisions without creating unnecessary friction for good customers. Its capabilities include bot and unauthorized reseller detection, AI-powered payment fraud screening backed by human fraud experts, return fraud and abuse prevention using advanced risk models, and claim and policy abuse prevention that identifies risk and intent before they turn into refunds, disputes, or escalations. -
19
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 -
20
Two Hat
Two Hat
Custom neural network trained to triage reported content. For years, social networks have relied on users to report abuse, hate speech, and other types of online harms. Reports are sent to moderation teams who review each abuse report individually. Many platforms receive thousands of reports daily, most of which can be closed without taking action. Meanwhile, reports containing time-sensitive content — suicide threats, violence, terrorism, and child abuse — risk going unseen or not being reviewed until it’s too late. There are legal implications as well. The German law known as NetzDG says that platforms must remove reported hate speech and illegal content within 24 hours — or face fines of up to 50 million euros. Similar laws concerning reported content are being introduced in France, Australia, the UK, and across the globe. With Two Hat’s reported content product Predictive Moderation, platforms can train a custom AI model on their moderation team’s consistent decisions. -
21
GiniMachine
HES FinTech
GiniMachine is an AI-based solution for automated decision making. It utilizes advanced machine learning algorithms and company's historical data to build high-performing scoring models. It can be used for credit scoring, collection scoring, application scoring, and expanding marketing (churn prediction), and sales (cross-sell and upsell) opportunities. The system uses a custom implementation of the decision tree ensemble method strengthened with a set of heuristics for preliminary data processing and preparation. The models that are built and provided by GiniMachine are fully compliant with BASEL requirements. The ability of the software to work with massive amounts of data can simplify the application scoring by identifying creditworthy borrowers in various industries. Using historical data of your business, GiniMachine can increase the returns in online loans, auto finance, POS lending, and more. -
22
Flowtask
Flowtask
Flowtask turns Slack messages, emails, and documents into operational memory and accountable work. Every conversation is structured into an executable skills file, so each agent can understand what is open, who owns it, what is blocked, and what happened before without repeated context or manual updates. Its AI Task Builder reads conversations live, extracts requests, deadlines, sender details, attachments, decisions, and thread history, then creates tasks shaped for client deliverables, internal actions, follow-ups, approvals, escalations, or blockers. Smart Assignment routes each task to the right owner using workspace context and rules, while the Priority Engine interprets urgency from tone, service-level agreements, and timelines. Email-to-Task and Slack capture keep work visible without asking teams to change habits, and status synchronization keeps communication and execution aligned.Starting Price: $5.23 per month -
23
EchoDepth
Cavefish Ltd
EchoDepth is an Emotional Risk Intelligence platform from Cavefish. It measures how communication will land before it is delivered, scoring delivery risk across video, voice and text. Unlike sentiment analysis, which classifies language as positive or negative after the fact, EchoDepth analyses observable delivery signals and returns scored, timestamped reports showing where audiences disengage and what to change. Measurement is built on the Facial Action Coding System standard: 44 Action Units calibrated across 14 cultural cohorts in 6 countries, rather than generic image classification. EchoDepth reports what the facial muscles did, not what emotion that represents, leaving interpretation to context-aware human review. For regulated deployment this is the defensible architecture. Typical applications include earnings call and investor communication review, FCA Consumer Duty vulnerability detection, contact centre escalation prevention, interview consistency scoring, and defenceStarting Price: $5000 per month -
24
Sales Rocket
Codeinero
Maximize conversions with Sales Rocket by creating urgency and FOMO in your Shopify experience using sales popups and email popup ups. Boost sales with social proof to your store with sales notifications, falling emojis and emoji reactions. Encourage faster buy decisions in your Shopify store with quick view stock counter and countdown FOMO timer. These urgency tools elevate user experience and motivate purchases, leading to higher revenue. Implement Sales Rocket for impactful sales growth. Spark engagement with real-time notifications of recent purchases. Offer limited time offers & coupons to users with an urgency pop up. Encourage FOMO buying w/ visible, diminishing stock levels. Infuse urgency with urgency timers for special deals & offers. Elevate checkout with animated cart and checkout button.Starting Price: $6.99 per month -
25
Dregs
Dregs LLC
Dregs is fraud detection for SaaS applications. A lightweight JavaScript tracking script fingerprints devices and streams user events; Dregs scores every identity across four dimensions: Humanity (bot and automation detection), Authenticity (fake profiles and disposable emails), Uniqueness (duplicate accounts linked through shared devices, IPs, and sessions), and Behavior (activity compared against expected patterns). Scores are transparent — built from individual analyzer observations you can inspect and tune, not an opaque risk number. Rules raise alerts to the dashboard, email, Slack, or webhooks, and teams adopt in four stages — Scoring, Alerts, Escalation, Autonomy — ending in automated responses like rate limiting and account quarantine. Dregs targets free-trial abuse, promo and referral fraud, duplicate accounts, stolen-card testing, SMS pumping, credential stuffing, and scraping. Setup is self-serve with a free trial and published pricing.Starting Price: $17/month -
26
ReviewPace
ReviewPace
ReviewPace is a reputation growth and recovery OS for local businesses. It helps owners grow authentic 5-star Google reviews, intercept unhappy customers privately before they post, and fight back against fake-review attacks. Core features: - Guided Review Funnel: A branded link with a 1-5 star gate. Happy customers (4-5★) get an AI-drafted review to copy-paste to Google. Unhappy customers (1-3★) route to a private Resolution Bridge. - Resolution Bridge: Private complaint capture with SLA urgency timers and auto-follow-up after resolution. - Incident Workspace: Fake-review attack triage with suspicious cluster analysis, dispute pack generation, and evidence PDF export for Google appeals. - Competitor Intelligence: Track rival rankings, mine negative reviews for complaints, generate marketing angles. - Local SEO Radar & Profile Audit: 10-pillar GBP scoring, keyword tracking, task board.Starting Price: Free -
27
Checkstep
Checkstep
Checkstep is an AI content moderation platform built for Trust and Safety teams at scale. The platform scans text, images, video and audio, applies a configurable policy engine covering every major abuse type, and routes edge cases to human moderators through review queues. Its AI Marketplace plugs in third-party detection models, so teams are never locked into one vendor. Built-in transparency reporting handles Digital Services Act and UK Online Safety Act obligations, including statements of reasons and appeals. Trustpilot, JustGiving, Daily Mail and Star Stable moderate user-generated content with Checkstep. -
28
Ember
Kanerika
Ember is an AI customer service agent from Kanerika. It connects to your existing helpdesk and knowledge base, including Zendesk, through secure API integrations, with no platform migration. Incoming queries from email and chat are classified by topic, intent, and urgency. Ember drafts context-aware responses from your knowledge base and past ticket history. High-confidence queries resolve automatically. Complex or sensitive ones are routed to the right human specialist with the full conversation attached. Each resolved query becomes a structured summary, so response times and trends show up in reporting. Ember deploys within your own infrastructure, keeping customer data inside your environment. Your team sets the escalation paths, confidence thresholds, and auto-resolve rules. -
29
Clearitty
Clearitty
Clearitty is a sales acceleration platform that combines real‑world, buyer‑backed intelligence from top SaaS sales executives with AI‑driven analytics to simplify and accelerate every stage of the sales cycle from discovery to closed‑won. It features a pipeline recommendation engine that delivers tailored lead generation based on your product category, value proposition, and ideal customer profile; fresh, real‑time intent signals from multiple sources; hot lead scoring that ranks accounts by urgency and conversion likelihood; and always‑on intelligence that updates your pipeline as market conditions shift. Its deal score analysis evaluates buyer likelihood using intent data, external signals, tech stack information, public filings, and historical trends to provide contextual insights. Relationship‑building tools identify the best champions, map full buying groups and reveal signing limits, while its AI‑powered Copilot generates sharp, personalized emails and playbooks.Starting Price: $80 per month -
30
Forwrd
Forwrd
Set your KPI and Forwrd will create a predictive scoring model based on factors strongly linked to your KPI. Identify and prioritize leads faster and more accurately with predictive scoring. Rank accounts and their underlying leads methodically with account scoring. Prevent customer churn by identifying & understanding churn drivers. Detect product-qualified leads to improve lead prioritization and sales efficiency. Build a self-learning scoring model that automatically identifies new conversion-impacting factors in your data and updates itself automatically. Identify churn signals with ease, discover opportunities to delight your best customers, and enable your frontline team to retain more customers. No code means you can build AI scoring models and deploy them without data teams. -
31
Kolvera
Kolvera
Kolvera is an AU-first sales intelligence and prospecting platform for Australian recruiters. Find companies and decision-makers, enrich verified business emails and direct-dial phone numbers (validated against ASIC, ABR and SEEK), score prospects by hiring urgency, and run AI-written multi-step outreach. Includes a BYOK dialler, a LinkedIn Chrome extension, deep-research agents, and a native MCP server so AI agents can run prospecting end-to-end. Syncs with HubSpot, Bullhorn, JobAdder, Pipedrive, Close, Capsule, Atlas and Zoho.Starting Price: $69 AUD/month -
32
Viable
Viable
Our process for analyzing qualitative data used to be incredibly manual, and a huge time suck. With their AI, we're able to find the needle in the haystack really easily. Go beyond sentiment analysis with a weekly report of the most important compliments, complaints, questions, and requests sorted by volume and urgency. Each theme tracks changes over time and contains a summary, urgency score, product sub-themes, user profiles, and more. Use viable to analyze sales call transcripts, customer support tickets, market research, employee surveys, and more. Our platform includes unlimited seats and integrations at every tier, no matter the size of your company. You just need 500 data points to get started. Each section of our report includes details on the people discussing that theme. Our AI uses customer traits and metadata to run true analysis and make recommendations based on details like NPS scores, customer tiers, regions, and more — the same way a human would.Starting Price: $600 per month -
33
VeriIA
VeriIA
VeriIA is an AI detector for professional content. It analyzes pasted text or uploaded documents and estimates how likely they are to have been written with AI, giving a clear percentage score and an easy-to-read report. The main dashboard shows sentence-level color highlights so users can quickly see which parts of a text look more “AI-like” or more human, along with an originality/AI probability gauge, scan history, and sample texts to test the tool. VeriIA works with multiple languages, with detection models especially adapted and optimized for Spanish and English to give more reliable results in those markets. The product offers a free tier for occasional checks and affordable paid plans for professionals who run AI-detection scans every day.Starting Price: $9/month/user -
34
Fundbox
Fundbox
Fund your company's future. Apply and you can get a credit decision in minutes. Funds transfer as soon as the next business day. Draw from your dashboard. Funds arrive in your business checking account. We’re here to help if you need us. Always see your payment total before you commit. No confusing language. No penalty to repay early. Give us a look inside your business to get a quick credit decision. First, share some basic information about your company. Second, connect your accounting software or bank account. We do not store your login credentials and applying will not affect your credit score. If you own a small business, you probably already know that sometimes you need a little extra cash. Even the most successful small businesses experience slow sales, late invoice payments, urgent unplanned expenses, and other short-term situations where cash flow is uncertain. -
35
APIVoid
APIVoid
APIVoid is a powerful suite of cybersecurity APIs that enables seamless threat detection, analysis, prevention, and data enrichment through simple JSON‑based HTTPS POST requests. It includes specialized APIs such as IP reputation (70+ scanning engines, detection of proxy, VPN, TOR, hosting, and IP geolocation), domain reputation (30+ engines, domain age detection and risky category identification), URL reputation (70+ security checks for phishing and suspicious URLs, providing detailed insights), email verify (detection of fake, temporary and suspicious emails, flagging misconfigured domains), phone validator (number validation and normalization with international/E164 formatting, carrier and line‑type identification, and fake or abusive number detection), and site trustworthiness (assigning trust scores to websites to identify fraudulent or insecure web shops).Starting Price: $20 per month -
36
BotBye
BotBye
BotBye detects and blocks bots, fraud, and phishing. It protects websites, apps, and APIs with adaptive risk scoring that evaluates every request in real time. Every request is protected with a one-time token generated client-side and verified via API. The response includes a verdict (Allow, Challenge, or Block) with risk scores, triggered signals, and enrichment data. Threat coverage: account takeover, credential stuffing, brute force attacks, fake registrations, data scraping, form spam, API abuse, coupon fraud, and multi-accounting. Core protection works out of the box. Risk scoring, custom rules, and rate limiting let you adapt to any threat specific to your business. BotBye detects phishing sites impersonating your brand, including HTML clones, reverse proxies, and custom-built fakes, and responds with takedowns, counter-attacks, and compromised user flagging. SDKs for 10+ frameworks, free plan with no credit card required. Paid from $10/mo.Starting Price: $10 -
37
Attack Path Analysis
Cloudnosys
Cloudnosys Attack Path maps and analyzes privilege-escalation and lateral-movement routes across cloud environments to reveal how misconfigurations, excessive permissions, and exposed resources could be chained into real-world breaches; it visualizes attack graphs with interactive drilldowns, prioritizes paths by contextual risk scoring (impact × exploitability), and recommends precise, actionable remediation steps to break the highest-risk chains, helping teams close the most dangerous routes first. The solution supports multi-cloud accounts, ingests identity, network, and resource telemetry to reconstruct realistic attack scenarios, simulates exploitation to test mitigation effectiveness, and integrates with existing cloud security workflows to trigger automated or guided fix playbooks, reducing time to detect, investigate, and remediate complex cross-resource threats while lowering alert fatigue. -
38
Maxdesk
MXG Infotech Pvt Ltd
Maxdesk is a modern help desk and ticketing platform for customer support teams, built so support software does not get more expensive as the team grows. Instead of per-agent seats, Maxdesk prices per workspace, and the free plan includes unlimited agents and unlimited tickets. It provides email-to-ticket, a shared support inbox, ticket priorities and statuses, SLA policies and business hours, no-code automations and routing, canned responses and templates, a knowledge base, roles, groups and granular permissions, live dashboards, reporting and full audit trails. Pro adds custom branding, advanced reporting and longer data retention. Elite adds an AI support layer: AI agents for triage and resolution, an AI Copilot, contextual replies, ticket summaries, live translation, sentiment and urgency detection, and AI usage analytics. Built for startups, SaaS companies, ecommerce businesses, agencies and SMEs. Start free, no credit card required.Starting Price: Free -
39
ModelRisk
Vose Software
ModelRisk is a Monte Carlo simulation Excel add-in that allows the user to include uncertainty in their spreadsheet models. ModelRisk has been the innovation leader in the marketplace since 2009, being the first to introduce many technical Monte Carlo method features that make risk models easier to build, easier to audit and test, and more precisely match the problems you face. A ModelRisk user replaces uncertain values within their Excel model with special ModelRisk quantitative probability distribution functions that describe the uncertainty about those values. ModelRisk then uses Monte Carlo simulation to automatically generate thousands of possible scenarios. In the same way that Excel is used for many different types of analysis, ModelRisk is used to assess the uncertainty in the numbers produced by the Excel model. Users have performed risks analyses with ModelRisk in a vast range of fields. -
40
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. -
41
Ubie
Ubie
Ubie Business is an AI-powered patient support platform that automates clinical intake, routes patients, and fills the schedule 24/7 across voice and chat. Built for healthcare organizations that need to meet patients earlier in the care journey, Ubie helps guide people from symptoms to the right next step while reducing administrative burden for staff. It supports clinical intake by assessing patient symptoms up front, determining urgency or routing needs before arrival, collecting relevant data only when needed, and helping complete intake without redundant paperwork. Instead of relying on disconnected phone calls, static forms, or manual triage, Ubie uses AI to gather symptom information, structure patient responses, and support better routing before the patient reaches the clinic. Its appointment scheduling capabilities help patients get directed toward appropriate care and reduce friction between symptom search, care navigation, and booking. -
42
OpenAI Moderation
OpenAI
The OpenAI Moderation API provides developers with a dedicated endpoint to automatically evaluate whether text or images contain potentially harmful or policy-violating content, enabling safer AI applications through real-time filtering and classification. It works by analyzing inputs (and optionally outputs) and returning structured results that indicate whether the content is flagged, along with detailed category labels such as hate, harassment, self-harm, sexual content, or violence. It is designed to be integrated directly into application workflows, allowing developers to take immediate action, such as blocking, filtering, or escalating content, before it reaches end users. Moderation models like “omni-moderation-latest” are optimized for speed and accuracy, supporting scalable use across high-volume applications while maintaining consistent safety standards.Starting Price: Free -
43
Sightengine
Sightengine
The perfect tool to automatically moderate content. Detect and filter any unwanted content in photos, videos and live streams. The API returns moderation results instantly and scales automatically to adapt to your needs. Easily grow your Moderation Pipeline to tens of millions of images per month. The API was built by developers for developers. You only need a few lines of code to be up and running. Leverage our simple SDKs and detailed documentation. Built upon state-of-the-art models and proprietary technology. The moderation decisions are consistent and auditable, with feedback loops and continuous improvement built-in. No human moderator is involved, your images remain private and are not shared with any 3rd party. The 'offensive' endpoint recognizes and detects different categories of items that are not appropriate for the general public.Starting Price: $29 per month -
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Recotail
Recotail
Recotail is a 100% automated profit recovery platform tailored for consumer brands selling on Amazon. Our end-to-end service encompasses detection, escalation, and recovery of lost profits, allowing sellers to focus on their core business operations. By leveraging AI-powered analytics, we identify discrepancies such as FBA lost and damaged inventory, customer refunds, inbound shipment issues, removal orders, weight and dimension overcharges, and referral fee overcharges. Our dedicated claim managers diligently address each discrepancy, escalating and following up persistently with Amazon to ensure a successful recovery. Users gain complete control through the Recotail Dashboard, which provides a comprehensive view of all cases, open, approved, or rejected, with data updated every 24 hours. This transparency allows sellers to track progress and understand what's working. We operate on a success-based model, no upfront fees; you pay only when we recover lost profits for you. -
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Pinch AI
Pinch AI
Pinch AI is an AI-powered post-purchase intelligence and abuse mitigation platform that helps ecommerce merchants identify and prevent fraudulent returns, reselling schemes, and other abusive behaviors while rewarding trusted buyers with adaptive return experiences and personalized incentives. It uses machine learning to analyze hundreds of data points across checkout, return history, logistics, and customer behavior to score buyer intent, segment customers, and create tailored return policies that balance fraud deterrence with excellent experiences for loyal shoppers. It offers a 360-degree customer view for support teams, integrates with return management systems, warehouse management systems, shipping carriers, and e-commerce stacks, and provides real-time dashboards to track key metrics like return rates, operational costs, and abuse patterns. -
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Logically Accelerate
Logically
Logically Accelerate is an advanced AI product designed to expedite the identification and evaluation of potentially harmful and viral content across 57 languages. It automates the discovery phase of fact-checking by transcribing videos, performing claim extraction analysis, and assigning fact-check worthiness scores. Logically Accelerate also provides overviews of related fact checks conducted by Logically Facts and suggests a range of videos for review without requiring fact-checkers to watch every video. By assigning urgency scores based on factors such as claim novelty and recency, Logically Accelerate helps avoid duplication of work and ensures that fact-checkers focus on the most relevant content. It is particularly useful for video verification and investigation, offering a user-friendly interface and efficient extraction of potential misinformation content from videos. -
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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 -
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ZeroGPT
ZeroGPT
ZeroGPT is a powerful and free AI detection platform designed to identify AI-generated content from models such as ChatGPT, GPT-5, Gemini, Claude, Grok, DeepSeek, and LLaMA. It analyzes text with high accuracy and highlights AI-written sentences while displaying an overall AI probability score. ZeroGPT supports multiple languages and provides detailed, automatically generated PDF reports that can be used as proof of originality. The platform goes beyond detection by offering a full suite of writing tools, including plagiarism checking, grammar correction, paraphrasing, summarization, and translation. Its intuitive interface allows users to paste text or upload files for instant analysis. ZeroGPT is widely used by individuals and organizations seeking fast, credible AI detection without barriers. Millions of users rely on it for transparent and reliable content verification.Starting Price: $7.99/month -
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Successifier
Successifier
Successifier is an AI-powered Customer Success Management (CSM) platform designed to prevent churn and drive proactive account growth. By unifying CRM data, product usage signals, and support tickets, Successifier provides a real-time 360-degree view of customer health. Our platform empowers CS teams to move from reactive troubleshooting to strategic growth through: Automated Health Scoring: Use AI to identify hidden churn risks and expansion opportunities. Proactive Playbooks: Trigger automated workflows for onboarding, renewals, and escalations. Outcome Tracking: Align team activities with customer ROI to maximize Net Revenue Retention (NRR). Prioritized Daily Tasks: Get AI-driven recommendations on which accounts need immediate attention. Successifier bridges the gap between customer data and actionable results, helping SaaS companies scale their success operations without increasing headcount.Starting Price: $79/month -
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ZeroDrift
ZeroDrift
ZeroDrift is an enforcement runtime for AI that checks every AI-generated message against the regulations and company policies that apply before the message is sent. Its Anchor compliance enforcement model combines a purpose-built small language model with a deterministic rules engine to evaluate outputs and return one of four decisions: pass, rewrite, block, or escalate. Every verdict cites the exact rule behind the decision, and rewritten content is checked again before delivery. Organizations can define their own internal policies, restricted lists, approval flows, and communication standards, which ZeroDrift enforces alongside built-in regulatory requirements across AI agents, chat, email, documents, marketing, APIs, and other AI surfaces. Guard provides an enforcement API that can sit in front of any AI agent or LLM, allowing applications to act directly on each verdict without rebuilding the existing AI stack.
