Deccan AI provides a curated platform of expert‑validated multimodal datasets, code repositories, and agentic execution trajectories to train, fine‑tune, and evaluate large language and multimodal models at scale. Its EnterpriseOS framework converts business SOPs into AI‑native workflows, while continuous monitoring and deterministic RL environments enable reliable performance tracking and rapid model improvement.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises and AI labs struggle to obtain high-quality, domain-specific datasets and reliable evaluation environments needed to train, fine-tune, and monitor large language and multimodal models at scale. Existing data sources often lack rigorous validation, domain expertise, or integration with real-world workflows, leading to costly pilot failures and limited model reliability.
Solution
Deccan AI offers a curated data and evaluation platform that supplies expert‑validated multimodal datasets, code repositories, and agentic execution trajectories for model training, alignment, and performance monitoring. Its EnterpriseOS framework transforms business SOPs into AI‑native workflows, enabling agents to execute tasks with auditable traces while continuous monitoring (Helix) detects drifts and feeds corrections back into a reinforcement loop. The STARK RL Gym provides deterministic, replayable simulated environments that mirror enterprise systems for stress‑testing agents under realistic failure modes. Clients can choose off‑the‑shelf data packs or engage Deccan’s experts to build custom data pipelines, ensuring data security through ISO27001 and SOC2‑certified processes and optional cloud‑bucket integration.
Target Audience
Primary customers are AI research labs, large enterprises, and technology firms that need high‑quality training data, robust evaluation pipelines, and AI‑driven workflow automation for complex business processes.
Features
- Expert‑curated multimodal datasets (audio, video, text, code) covering domains such as finance, STEM, and enterprise operations
- Containerised code environments with exact tool signatures, statefulness, permissions, and rate limits for reproducible training and evaluation
- EnterpriseOS process studio that converts SOPs, regulatory rules, and compliance requirements into precise, executable agent instructions
- Helix monitoring system that logs every agent output, flags accuracy drifts, and generates structured feedback for continuous improvement
- Reinforcement loop that automatically incorporates corrected outputs and exception handling into model updates
- STARK RL Gym offering deterministic, domain‑calibrated reinforcement‑learning environments for browser, OS, and code‑execution tasks
- Custom data and environment creation services tailored to client‑specific systems and governance needs
- ISO27001 and SOC2 certified data handling with optional client‑controlled cloud storage integration