Turn your institutional knowledge and audit infrastructure into AI-accessible assets, with retrieval-powered research, agentic report generation, and compliance monitoring that catches issues before they become audit findings.
DocBot, RAG chatbot over 1,000+ pages of client documentation
RAG knowledge platforms, agentic report generation, continuous compliance monitoring, policy and contract intelligence, audit log analysis.
Institutional knowledge trapped in documents and shared drives does not help teams who do not know to look for it, or who cannot find the right section when they do. We build retrieval systems that make your policies, procedures, product documentation, and institutional knowledge answerable in natural language, with citations that allow users to verify the source of every response.
Synthesising information across a large document corpus into a coherent, cited report is hours of knowledge worker time per task. An agentic writer-reviewer pair handles the same work, researching across your corpus using the RAG layer, drafting a response, verifying every claim against source citations before the document reaches anyone, and delivering a fully cited output.
Compliance reviews that happen quarterly identify violations that have been accumulating for months. Continuous monitoring agents read your audit logs, compare actions against current policy, flag potential violations in near real-time, and draft remediation guidance, turning reactive audit preparation into an ongoing operational posture.
Legal and compliance teams that review policies and contracts manually operate at the speed of individual reading. AI-assisted review surfaces relevant clauses, flags deviations from standard terms, identifies obligations that require action, and produces a structured summary, so reviewers apply expertise to the parts that require it.
Audit-ready documentation requires synthesising activity logs, access records, and configuration changes into a narrative that satisfies external reviewers. We build the reporting layer that pulls from your existing audit infrastructure and produces the documentation your audit requires, on demand, not on a quarterly preparation sprint.
New employees spend weeks finding answers to questions that experienced colleagues answer in minutes. An AI knowledge assistant grounded in your onboarding documentation, policies, and process guides reduces that ramp time, and frees senior team members from answering the same questions repeatedly.
DocBot is a production RAG chatbot built for a client with over 1,000 pages of HTML product documentation stored in a database. The chunking strategy, overlap handling, vector store configuration, cosine similarity search, and conversational interface are running in production and in daily use by the client's support team. This is the baseline we bring to every knowledge platform engagement.
We have built DPDP-compliant audit trail systems in Revantage and compliance monitoring for regulated clients across pharma and fintech. The activity log infrastructure we build into every platform is the operational foundation our compliance monitoring agents observe. We are not building the compliance tooling from scratch.
The writer-reviewer AutoGen pattern for document research and report generation is a system we have designed, built, and described from direct experience, not from framework documentation. We know the failure modes and how to make the output reliable enough for professional use.
DPDP (India), HIPAA-aligned practices, SOC 2 controls, and KYC/AML frameworks are compliance environments we have operated across pharma, healthcare, fintech, and enterprise SaaS clients. The regulatory requirements differ. The engineering discipline translates.
Compliance and standards
Speak with a team that has operated production RAG systems and compliance infrastructure across regulated industries. We bring the retrieval depth and the compliance experience from day one.
