Dartican’s CompAccelerator is a robust compensation planning solution designed to provide the agility needed to address the challenges of today’s dynamic business environment. CompAccelerator guides managers in allocating salary, bonus, and long-term incentives, thus advancing transparency, expanding visibility and improving accuracy all while reducing the time and cost to setup and administer your planning cycle. This feature-rich and highly scalable software’s intuitive administration delivers sophisticated capabilities that are simply and quickly deployed for unmatched business agility. CompAccelerator is backed by readily available support staff with strong corporate compensation experience at your disposal.
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FinOpsly is an AI Cost Governance platform. It brings AI, cloud, data platform and SaaS spend into one attribution, policy and control layer, so enterprises can price a workload before building it, attribute every dollar to an owner, hold spend inside budget under policy, and prove what landed in run-rate.
Your AI invoice is not what your AI costs. One request draws on model tokens, retrieval, warehouse queries, GPU capacity and storage, and only the first shows up on the AI bill. FinOpsly resolves all of it, plus the seats in procurement and the compute in an untagged cloud account, to the same dimensions: owner, team, application, line of business, customer and tenant. An AI initiative's full cost becomes one figure, charged back through one hierarchy in one cycle.
Workforce AI is the tools employees use: seats and per-user token draw across GitHub Copilot, Cursor, ChatGPT Enterprise and Microsoft 365 Copilot. Application AI is the AI your product ships: tokens, compute and data joined into cost-to-serve across OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex AI, SageMaker and Databricks.
PLAN. Price a workload from its architecture before any resource exists, across model APIs, GPU capacity, data platform consumption and storage, with assumptions visible. Compare it across candidate models on your measured usage.
EXPLAIN. Attribute spend to owner, team, application, line of business and business unit across 9+ hierarchy levels. Unified tagging reconciles providers that tag inconsistently, and AI-driven bulk labeling closes large key estates. Unattributed spend is reported in dollars.
ACT. Budgets per project, team and API key, with daily burn-rate monitoring. Anomaly detection with root cause, routed to the owner. Waste detection using FinOpsly's own algorithms and ML models. Commitment planning across AWS, Azure and Google Cloud. Policy-driven parking of idle compute.
PROVE. Chargeback across AI, cloud, data and SaaS in one cycle. Realized savings tracked into run-rate against a no-action baseline. Cost per call, cost per active user, and cost-to-serve per customer and tenant.
proof: 100% attribution of AI spend; chargeback from 12.4 days to under one day across 9+ levels; 26% realized savings in AWS and 17%+ in Azure at a payments client.
Built for CIOs, CTOs and platform leaders accountable for technology spend, FinOps and finance teams running chargeback, and engineering teams who need cost signal before they decide
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Frava
Frava is an all-in-one model agency management software that helps modeling agencies organize portfolios, bookings, and payments with ease. Built as a modern SaaS platform, Frava centralizes digital model cards, comp cards, and online portfolios, allowing agencies to share professional packages with clients in seconds. It automates repetitive workflows, connects schedules and accounting, and improves collaboration across teams. With AI-ready architecture and secure cloud infrastructure, Frava delivers scalability for agencies of any size—from boutique mother agencies to international networks. Founded in London in 2020, Frava is used across Europe, North America, LATAM, and Asia. Designed for efficiency and data-driven insight, it helps creative teams save time, increase bookings, and manage their entire operation from one intuitive dashboard. Frava makes agency management intelligent, fast, and future-proof.
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