The operating system for regulated finance.
Litehouse AI Technologies designs and builds the AI infrastructure that regulated lending runs on — compliance, credit, audit and property intelligence. What follows is a record of that work: the platform, the products, and the way they are engineered. A showcase, not a sales page.
A showcase of work by Litehouse AI Technologies · Not a product offered to institutions
Regulated lending is not a horizontal problem. We don't treat it like one.
Litehouse AI Technologies builds Litehouse AI OS — an AI-native operating system for India's regulated lenders. It reads the rulebook, maps obligations to controls, tests those controls, prepares audit evidence, and embeds the same discipline into credit and operations.
Most AI tools generalise. Ours is built narrow and deep: on the Indian regulatory corpus, on the way an NBFC actually files and defends a decision, on the difference between an answer and an answer an auditor will accept.
One operating system. Twenty agents. A governance layer a regulator can follow.
Litehouse AI OS is an SLM-first, retrieval-grounded platform: a multi-LLM router directs work across a mesh of specialised agents, each grounded in a live index of Indian regulation and each subject to the same maker–checker–validator control.
RBI NHB SEBI DPDP and more — with every obligation traceable to its source.multi-LLM router, a Digital Twin of the borrower and portfolio, and the Validator reasoning engine that grades and defends every inference.Maker → Checker → Validator sub-agents — sixty in all — so drafting, verification and sign-off are separated by design.Compliance & Regulatory
Reads regulation, maps obligations, tracks change, drafts and files.
Audit & Controls
Tests controls, gathers evidence, reconciles, prepares audit-ready packs.
Credit & Underwriting
Scores, builds the digital twin, reasons on risk, defends the decision.
Operations & Customer
Servicing, collections nudges, KYC and document intake at the edge.
Intelligence & Growth
Portfolio insight, sourcing, and the signals that move the estimate.
Built to be examined. Not just to demo.
Regulated software has to be defensible, not just demoable. This is the discipline the work is built to — designed for the audit that comes after the deployment. Proof you can check, not a borrowed headline.
Your perimeter, your terms
On-premise or air-gapped. The platform runs inside your infrastructure; sensitive data never has to leave your control. Open-source-native backend, no black-box dependency.
Separation of duties, enforced
Maker–Checker–Validator is not a policy document — it is how the agents are wired. Drafting, verification and sign-off are handled by distinct agents, with humans on judgment and escalation.
Every number traces to a source
Each obligation maps to the regulation it came from; each decision carries the evidence behind it. Nothing is asserted that cannot be shown.
DPDP-ready, sovereignty first
Data residency, consent and purpose limitation are treated as architecture, not afterthoughts — aligned to India's Digital Personal Data Protection framework.
How it runs behind your edge.
One stack. A family of products on top of it.
Litehouse AI OS is the shared foundation. Each product is a specialised surface on the same governed core — origination, SME credit, compliance, and property intelligence — so an institution can adopt one and grow into the rest.
Research & adjacent work: TwinSim — a digital twin of Indian financial behaviour · BhumiQ — property credit infrastructure, "CIBIL for property."
The problems these systems are built around.
NBFCs & HFCs
Turn a growing regulatory surface into a system that reads change, tests controls and keeps audit evidence current — without adding headcount.
MSME & SME lenders
Score thin-file borrowers on alternative data, defend each decision, and route to the right capital with the underwriting trail intact.
Banks & co-lending
Bring partner-originated books onto a shared, examinable standard so co-lending scales without diluting control.
Mortgage & property
Cross-check title and valuation in minutes, flag defects and adverse remarks, keep the legal opinion human.
Compliance & audit teams
Automate the 80% that is gathering, drafting and reconciling; keep the 20% of judgment where it belongs — with your people.
Boards & examiners
A single, traceable view of obligations, controls and exceptions — ready when the board or the regulator asks.
Case studies and field notes, as they publish.
Compliance close, automated
An NBFC's quarterly regulatory close, and what changed when the gathering and drafting moved to agents. Coming soon.
What audit-grade AI means
Why separation of duties has to be architectural, and how maker–checker–validator holds up under examination. Coming soon.
Title defects at scale
Reading title chains and valuation reports across a mortgage book — where the machine helps and where it must stop.
A record of what we've built.
This site is a showcase of work by Litehouse AI Technologies. It is not an offer of products or services, and the platform is not available to institutions through this page. For general or media enquiries: