Forward-deployed AI firm — compounding engine underneath
Vihaya is a forward-deployed AI systems firm. We embed with one regulated enterprise per engagement and ship a deployed AI service into their tenant — built on the Vihaya Engine. Unlike a consultancy, every engagement we ship writes into the same substrate, so customer N+1 gets the benefit of all the work that came before. India-HQ, global pipeline. Sector-agnostic. Pre-revenue as of May 2026 with no paying customers; the first design-partner pilots are the next milestone.
Vihaya is a forward-deployed, audit-grade AI decisioning firm for regulated enterprises, built in India and serving globally. It embeds engineers with one buyer per engagement, ships a deployed AI service into the customer’s own tenant, and leaves it with them. Every engagement compounds patterns back into the shared Vihaya Engine. Pre-revenue, with no paying customers yet.
What we are
A forward-deployed AI firm with a productized engine. We pair engineers with one regulated-enterprise buyer per engagement, ship into their tenant, and leave the system with them. Sector-agnostic by design.
What we are not
Not a SaaS subscription, workflow builder, or consultancy selling hours. We ship deployed AI services on fixed-price engagements, and every engagement compounds into the engine powering the next one.
How we work
Every engagement is a 12-week paid pilot. Weeks 1–2: discovery & access. Weeks 3–8: ingest & integrate. Weeks 9–11: shadow run. Week 12: handoff. Customers either renew into production or stop—no lock-in.
Where we are today
Pre-revenue. No paying customers. Production-shaped architecture; SOC 2 Type II and HIPAA-BAA work transparently through pilots. Prior-authorisation is our first vertical. No pilots signed yet.
How we operate
Workload fit over fashion
We pick tools and models that fit the actual query shape and compliance need, not what looks good in a deck.
Audit is a primitive
Every decision is one immutable row. Reconstructable from cold storage years later. SOC 2 evidence is a side effect.
Confidence floor is a primitive
Below threshold → human review, regardless of verdict. Meaningful-touchless-share path with clean human-in-the-loop.
Evals block deploys
Every solution ships with a golden dataset. Drift below threshold means the deploy never reaches production.
Model-agnostic
OpenAI, Anthropic, Azure, Vertex—use whichever provider your security team has already cleared.
Engagements compound
Patterns from each engagement—entity types, policies, evals—write back as reusable primitives for the next one.
Founder
Vihaya is founded by Vishnu S — a full-stack engineer building forward-deployed, audit-grade AI decisioning for regulated enterprises. He also builds the wider Vihaya ecosystem of products for students and developers.
Ready to explore whether this fits your workflow?
Book a 30-minute discovery call. We’ll map your highest-pain wedge and send a draft SOW shortly after.