From AI strategy and governance to production Agentic AI systems — we help enterprises responsibly adopt, deploy, and scale artificial intelligence that delivers real business value.
Build an AI capability that is aligned to your business strategy, governed responsibly, and ready for the regulatory scrutiny of tomorrow.
Define your organization's AI vision, identify high-value use cases, build the business case, and create a phased roadmap from quick wins to transformational initiatives.
Establish AI governance frameworks covering model risk, bias auditing, explainability requirements, policy documentation, and board-level AI oversight structures.
Protect AI systems from adversarial attacks, prompt injection, data poisoning, and model inversion. Security-first architecture for LLM deployments and agentic systems.
Govern the full model lifecycle — from experimentation and validation through deployment, monitoring, retraining triggers, and decommissioning with full auditability.
Choosing the right model matters as much as building it. We provide rigorous, vendor-neutral evaluation to match the right model to your use case, budget, and compliance requirements.
Systematic evaluation of foundation models (Claude, GPT-4, Llama, Mistral, Gemini) against your specific tasks — accuracy, latency, cost, context window, and compliance.
Domain adaptation through supervised fine-tuning, RLHF, LoRA/QLoRA, and PEFT — creating specialized models that outperform general-purpose LLMs on your specific tasks.
Build custom evaluation harnesses for your domain — automated test suites, human-in-the-loop review workflows, and continuous evaluation in production environments.
Production-grade model serving with low-latency inference, auto-scaling, A/B testing, and cost-optimized deployment across cloud and on-premises environments.
We build production AI applications — from intelligent search and RAG pipelines to multi-agent systems — that integrate seamlessly into your existing workflows.
Retrieval-Augmented Generation pipelines grounded in your private data — document Q&A, knowledge bases, semantic search, and enterprise chatbots with full citation support.
Design and deploy multi-agent systems with tool use, memory, planning, and human-in-the-loop escalation — from single-purpose assistants to complex orchestration platforms.
Intelligent process automation that goes beyond RPA — AI-powered document processing, decision automation, and workflow orchestration with LLMs at the core.
Full-stack AI application engineering — APIs, UIs, integrations, and infrastructure — built for reliability, observability, and the operational realities of enterprise environments.
Accelerate your engineering team's productivity with Claude Code — Anthropic's AI coding tool. We handle everything from organizational rollout and security review to hands-on training sessions and custom workflow integration.
SSO integration, API key management, cost controls, and security review for enterprise deployment.
Hands-on workshops, best practice guides, and team-specific prompt engineering training.
Custom CLAUDE.md configs, MCP server setup, hooks, and CI/CD pipeline integration.
Dashboards to track adoption, productivity gains, and ROI across teams and projects.
AI coding policies, acceptable use guidelines, and code review processes for AI-generated code.
Dedicated support, quarterly reviews, and updates as Claude Code evolves with new capabilities.