The research is done. The moat is filed. 2026 is for training at scale. 2027 is for going to market. An API for developers. Vertical products for the industries where LLMs cannot be trusted. All at a fraction of the cost of current AI.
The same cortical system powers every product we ship. Different packaging, different market, same moat.
The cortical architecture, as a service.
Developer and enterprise access to the full VCI system. Memory, reasoning, confidence tracking, and infinite context available through a single API. For teams building AI products that transformer-based services cannot reliably power.
On-premise deployment. Fully owned.
Air-gapped, licensed installations for regulated enterprises. Banks, defense, sovereign-cloud customers, and any organization that cannot send data to a third-party API. Full architectural ownership, not a wrapper.
Entire case law in one context.
A legal AI that holds the Constitution, every relevant statute, and case precedent in working memory at once. No chunking. No RAG plumbing. The architecture is built for this. Competes directly with Harvey AI and Lexis+ AI.
Clinical reasoning without hallucination.
Clinical documentation and decision support for hospitals and clinics. The system tells you when it is unsure. In regulated medicine, that is the only behaviour that matters. Competes with Hippocratic AI, Nabla, and Suki.
Compliance memory that never forgets.
Risk memos, compliance analysis, and audit support for banks and advisory firms. Every prior case, every prior decision, retained and retrievable.
One tutor, years of memory.
Personalized tutor that remembers every student across semesters. Adjusts to what each learner knows, misses, and repeats. No cold starts, no prompt engineering.
Small cortical models for devices.
Compact VCI models for IoT, robotics, and wearables. On-device intelligence without cloud dependence. Licensing plus SDK for hardware makers.
Four quarters. Seven products. Five revenue streams. The plan below is directional. Specific contracts and pipeline are shared in person. These are targets we build around, not guarantees.
Pre-revenue. Architecture training at scale. IP filings completed.
API live. Legal live. First enterprise contracts. First ₹50 Cr.
VCI Health launches. Legal compounds. Enterprise deal count triples.
Finance and Education verticals ship. International expansion. Multiple six-figure ARR accounts.
VCI Embedded in production. Multimodal ships. ₹1,000 Cr run rate.
It is ambitious because it assumes launch on time, architecture validated, and enterprise pipeline converted. Pre-seed capital closes the gap between training complete and API live. That is what the round buys.
Usage-based where volume is high. Subscriptions where workflows are deep. Licenses where data cannot leave the premises.
Per-token
Developers, AI product teams
Per-seat monthly
Solo lawyers to global firms
Per-clinician monthly
Clinics, hospitals, telemedicine
Annual, on-prem
Banks, defense, sovereign cloud
Project-based
Bespoke VCI deployments
Every serious competitor in our target markets is an LLM wrapper. All work. All ship. All inherit the same failure modes. We compete on the failures transformers cannot fix.
Global legal AI on track to ~₹1 lakh Cr by 2030 · Indian legal tech doubling every three years
Entire constitutions, statutes, and precedent held in one context. No chunking. No RAG plumbing.
Every one is built on a transformer. All inherit the same wall: context limits, hallucinations, forgetting. VCI is architecturally incapable of those failure modes.
Indian healthcare AI heading to ~₹50,000+ Cr by 2030 · Conversational clinic AI barely touched
Clinical reasoning where hallucination is not acceptable. Confidence tracked per response.
Hallucination is the one failure mode regulated medicine cannot absorb. VCI's self-awareness pillar flags its own uncertainty by design. That is the behaviour hospitals actually need.
Five revenue streams. Seven products. Two flagship verticals. One architecture. We are raising pre-seed to complete training and ship to market. Let us walk through it.