Deccan AI

What Deccan AI does

Deccan AI helps frontier AI labs and enterprises improve model performance through research-grade evaluations, benchmarks, and novel datasets at scale. They deliver mid-and post-training solutions across major domains, including Agentic, Coding, Functional Streams, Multimodal, Model Alignment, and Robotics. Deccan AI provides solutions at scale, with speed, leveraging their 1.2M+ experts and cutting-edge platforms like STARK for RL environments and agentic benchmarks; Helix for evaluating, monitoring, and improving AI agents in production AI-embedded workflows; and EnterpriseOS for deploying AI-native enterprise workflows that run reliably with humans in the loop. Their mission is to empower companies with the highest-quality, human-verified datasets, becoming the trusted partner for superior AI model training, and to set the global standard for quality, integrity, and innovation in AI.

Products

• STARKA platform for perfect RL environments for models to unlock next-level performance, featuring code-based containerized environments, five-step verifiers, and tasks built by practitioners.
• HelixThe Enterprise Eval Suite for continuous agent monitoring and drift detection, offering dynamic evaluations (AI + Humans) to ensure evaluations are effective, with flexibility to set AI-to-human eval ratios and expert-designed prompts, rubrics, and scenarios.
• EnterpriseOSA platform for deploying AI-native enterprise workflows that run reliably with humans in the loop, providing bespoke agentic solutions to transform back office operations, with AI deeply embedded into daily workflows.
• Deccan AI StudioAn in-house platform to build AI agents to enhance workflows, allowing users to create customized AI agents using predefined templates and organizational data, build customer-friendly UI, test, orchestrate, monitor, and evaluate AI agents in a sandbox environment.
• Agentic Browser Research DatasetA specialized dataset that enhances browser-based, agentic research by enabling models to generate precise, context-rich responses to complex real-world queries, with expert annotation and source verification.
• STEM DatasetsDatasets that power Image QA, LaTeX problem-solving, and multi-turn tutoring, with expert evaluators and strict rubrics to ensure AI models provide accurate, context-rich answers.
• Data for Tuning RAGHigh-quality human data and RAG capabilities to connect large language models (LLMs) to a curated, dynamic database, enhancing accuracy, up-to-date information, and relevance for specific needs.
• Multimodal QA DatasetA dataset that enhances LLM fine-tuning for Market Research and Business Intelligence, featuring image-based questions, vivid visualizations, and detailed step-by-step responses.

Key capabilities

• Super accurate data
• RL environments
• Agents
• Pristine post-training data
• Audio, video, visual, and doc intelligence datasets
• Private code repos for training & evals
• Tool use, browser use, computer use, multi-step execution trajectories
• General-purpose training and eval data across foundational areas
• Embodied AI ground truth data
• STEM, deep research, finance, consulting function-specific data
• Multilingual text corpora for instruction tuning, RLHF and language model alignment
• Labelled image and video datasets for computer vision and multimodal model training
• Red-teaming, adversarial prompts, and alignment datasets for safer AI systems
• Code-based containerised environments
• Five-step verifiers for RL environments
• Tasks built by practitioners for RL environments
• Continuous agent monitoring and drift detection
• Flexibility to set AI-to-human eval ratio
• Expert-designed prompts, rubrics, and scenarios for evals
• Custom-built AI agents
• 100+ customizable capabilities for AI agents
• Custom Multi-Agent Workflows
• Adaptive Intelligence
• Orchestrate and Monitor AI agents in real-time
• Evaluate AI agents in Sandbox environment
• Multi-touch Collaboration (up to 3 annotators per data sample)
• Real-time Feedback Compiler
• Anti-Cheating Indicators
• Expert Curated datasets (300K+ experts, IITians, PhDs)
• Domain Specific Datasets
• Hierarchical document-structured chunking for RAG
• Multi-layer validation for quality control
• Markdown Editor for Multimodal QA
• Diverse Expert Network

Use cases

• Accelerate frontier model performance
• Improve model performance through research-grade evals, benchmarks, and novel datasets
• Mid-and post-training solutions across major domains
• Agentic solutions
• Coding solutions
• Functional Streams solutions
• Multimodal solutions
• Model Alignment solutions
• Robotics solutions
• Evaluating, monitoring, and improving AI agents in production AI-embedded workflows
• Deploying AI-native enterprise workflows
• Streamline code generation
• Automate bug fixes
• Create technical documentation from simple descriptions
• Generate personalized financial reports
• Conduct advanced risk analysis
• Create fraud detection scenarios
• Talk to streams of data with natural language
• Enable LLM's multi-modal reasoning abilities
• Personalize learning content (lesson plans, quizzes, interactive assignments)
• Summarize complex materials (textbooks, lectures)
• Interoperable, fault-tolerant LLM workflows
• Supervised fine-tuning across text, image, audio, and video
• Train models to write and debug code from natural language prompts
• Convert natural language queries into precise SQL statements
• Assess and compare model performance with robust validation strategies
• Enhance generative AI with up-to-date, fact-grounded responses (RAG)
• Optimize AI models with direct human feedback (RLHF)
• Label and curate data across text, images, audio, and video
• Benchmark and validate model performance
• Custom-built AI agents for banking & retail
• Customer Sentiment Analyzer
• Document Information extractor
• Social Media Pattern Analyzer
• Omni-Channel Support Assistant
• Fraud Detector Assistant
• Context Enabled Assistant
• Customer Feedback Loop
• Browser-based, agentic research
• Image QA (STEM)
• LaTeX problem-solving (STEM)
• Multi-turn tutoring (STEM)
• Market Research (Multimodal QA)
• Business Intelligence (Multimodal QA)

AI approach

Deccan AI provides high-quality, human-curated datasets, RL environments, and agents to improve model performance for frontier AI labs and enterprises. They offer mid-and post-training solutions across various domains including Agentic, Coding, Functional Streams, Multimodal, Model Alignment, and Robotics. Their platform includes tools like STARK for RL environments and agentic benchmarks, Helix for evaluating and monitoring AI agents, and EnterpriseOS for deploying AI-native enterprise workflows. They emphasize a "Quality as Infrastructure" approach, using trained annotators, expert reviewers, and domain specialists, along with custom-built infrastructure to track and elevate label quality.

Tech named: LLM, RLHF, SFT, RAG, STARK, Helix, EnterpriseOS

Industries served

• Software
• Finance
• EdTech
• Banking
• Retail
• Market Research
• Business Intelligence

What it says sets it apart

• Super accurate data, RL environments, and agents
• Platform that supports the entire AI journey (Build, Deploy, Evaluate)
• Pristine post-training data par none
• Grounded in Research + Battle Tested
• Perfect RL environments for models to unlock next-level performance
• Helix's dynamic evals (AI + Humans) ensures evals are no longer a hall of mirrors
• Bespoke Agentic Solutions to transform Back Office
• Humans remain in the driver seat but AI is deeply embedded into their day-to-day workflows
• Independent benchmarks that test the limits of frontier models
• Best in-class data for all modalities and especially the most nuanced workflows
• Exceptional Experts. High-touch QC. Specialized Platform.
• Top 1% raters
• Deep Expertise in All GenAI Use Cases
• Custom-built AI agents adapt to business needs
• Deep Expertise, Not One-Size-Fits-All
• Results in Days, Not Months
• Intelligent Capabilities with 100+ customizable capabilities
• Proven Impact: trained top-tier LLMs
• Smarter and Efficient: streamlines workflows and boosts efficiency with human-like engagement
• Tailored to your Business: trained on organization's data
• Multi-touch Collaboration (up to 3 annotators per data sample)
• Real-time Feedback Compiler
• Anti-Cheating Indicators
• Expert Curated (300K+ experts, IITians, PhDs)
• Research-Driven Precision for STEM datasets
• Diverse Expertise Across 28 Domains for STEM
• Reduces Hallucinations with step-by-step breakdown and hierarchical document-structured chunking
• Platform: purpose-built GenAI platform with advanced quality features
• Process: rigorous playbook with Gold Labels, Overlaps, Random Sampling, and dedicated in-house project management
• People: expert in-house team of 100+ quality associates, 15+ learning & development specialists, and dozens of project managers (including IIT alumni)
• Quality as Infrastructure: built with quality as the core system
• Custom-built infra to track, score, and elevate label quality
• Transparent metrics

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.