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Two weeks at a fixed price. We talk to your users, read whatever code already exists, and come back with a scope, a risk list and a number — not a proposal deck.
Vayro designs and engineers digital products — from intelligent automation to production-grade platforms — built to perform, scale and last.
Strategy, product engineering and infrastructure under one roof. The same team moves between a smart contract, a language model and a payments API, because that is where the hard bugs actually live.
Agents that do real work: retrieval over your own data, tool access through MCP, and an evaluation harness so you can prove the thing behaves before it ever reaches a customer.
Protocol and contract work where the review matters more than the deploy. Tests a non-author can read, invariants written down, and an auditor involved before you need one.
The unglamorous layer that decides whether anyone actually uses it — passkey sign-in, sponsored gas, a recovery path that works, and a fiat ramp that clears compliance.
The platform underneath all of it. APIs, queues, dashboards, and the unfashionable reliability work that keeps a product standing up while your team is out selling it.
Every engagement starts at the problem, not the stack. We size the work honestly, ship in short cycles against something running, and keep you close enough to the build to change your mind while it is still cheap.
Two weeks at a fixed price. We talk to your users, read whatever code already exists, and come back with a scope, a risk list and a number — not a proposal deck.
A written system design you own: data model, integration map, threat model and a monthly cost envelope. Complete enough that you could hand it to a different team.
Two-week cycles against a live environment from day one. Every change reviewed by a second engineer, and you are in the repo and the standup whenever you want to be.
Load testing, alerting, runbooks and a handover a new hire can actually follow. Or we stay on as the team that carries the pager and keeps shipping.
We are small and senior on purpose. The people who scope your project write the code, and they are still on the call the week it goes to production.
The engineer who scoped the work is the engineer who builds it. No quiet handover to a junior bench once the contract is signed.
Threat modelling before the first commit, dependency and secret scanning in CI, and a written review before anything touches production money or customer data.
One team that can hold a contract, a model and a payments API in the same conversation — which is where the expensive failures usually hide.
Your repo, your cloud account, your keys, from commit one. Documentation written as we go rather than assembled the week before we leave.
From a first version that has to prove something to a board, through to systems already carrying real load that are not allowed to break.
A first version credible enough to raise on and structured well enough that you are not rewriting it in month nine. Usually eight to twelve weeks to something real.
An embedded pod for when the roadmap outgrew the team — working in your repo, your rituals and your definition of done, not ours.
Modernization and AI adoption inside real constraints: procurement, legacy data, audit requirements, and a change window that is four hours long on a Sunday.
Contracts, node infrastructure and on-chain tooling built to survive an audit, a bear market and a very public bug bounty.
Not a trend list. These are the problems teams are bringing to AI and blockchain work in 2026, and the parts of them that turn out to be genuinely hard once you are past the demo.
MCP went from a proposal to the default way agents reach tools. The work now is the boring half: scoped OAuth, rate limits, audit trails, and servers that do not become an attack surface.
The moment there is more than one agent you are writing distributed systems again — state across boundaries, handoffs, retries, and deciding who wins when two agents disagree.
Nobody should ship an agent they cannot measure. A trace per run, a regression suite that catches drift, and a cost ceiling that trips well before the invoice does.
An agent with tools is an agent with blast radius. Prompt-injection testing, a permission boundary per tool, and red-teaming before it is allowed to move money.
Tokenized real-world assets on public chains passed $30B by mid-2026, by rwa.xyz's count. The contract is the easy part — issuance, custody, investor onboarding and reporting are the actual project.
Regulated stablecoins have become ordinary payment infrastructure. We build treasury and settlement flows that a finance team and a regulator can both follow end to end.
Seed phrases lost more users than gas fees ever did. Passkey sign-in, sponsored transactions and social recovery on ERC-4337 — shipped, not prototyped.
Rollups are the default deployment target now, and ZK has uses past scaling: proving something is true about your data without handing the data over.
A paragraph about the problem is enough to start. We reply within two working days, usually with questions rather than a quote.
Engineers, designers and researchers who like systems that are hard to get right. Send something you built and what you would change about it now.
Based in India and working remotely, with overlap hours agreed up front so your team always has a time to reach us.
Guides on AI agents, RAG, MCP, tokenization and chain abstraction, written by the engineers who build them.