Founders, principal engineers, and solution architects with 25+ years shipping production systems — now applying that judgment to AI. We use Claude, LangGraph, and MCP the way senior devs use senior devs: with evals, observability, and architectural discipline. Not vibe coding. Real engineering, an order of magnitude faster.
Fractional · project sprints · advisory
Our edge
Anyone can prompt a model. Few teams can ship the result to production without it falling over on the first real customer. That gap is what we close.
Distributed systems, databases, security, multi-cloud, observability. Foundations don't change because the model did. We bring decades of production scars to bear on AI projects, not first-week enthusiasm.
Each of us has founded, built, scaled, and shipped revenue-generating products. We think like owners — we'll tell you when the AI answer is wrong, not just take the brief.
Claude Code, Cursor, custom agents, MCP servers — woven into every workflow. A senior engineer here ships 5–10× more code per week than they did two years ago, with senior review on every diff.
Eval harnesses gating every prompt change. Observability on every model call. Cost ceilings, rate limits, graceful degradation. AI is the tool — engineering rigor is the moat.
Formal training + certifications
What we've shipped
Each of these runs in production today. Each one is a real answer to a hard problem — not a slide-deck demo.
WordPress for the AI era
Multi-tenant SaaS platform where customers describe what they want, AI scaffolds it, and the app deploys on their own Cloudflare account. Zero-knowledge by architecture — Jaagaa never holds tenant data.
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Multi-lingual voice agents · sub-second latency
Voice AI platform answering calls over PSTN, WhatsApp Voice, and web. Speaks naturally in multiple languages. Routes complex calls through a LangGraph orchestrator with deterministic fallback to humans.
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WhatsApp-first commerce for the gig economy
Multi-channel ordering — web, mobile, WhatsApp — for restaurants, theaters, and venues. Time-of-day menus, AI natural-language search over inventory, pickup / dine-in / delivery flows, payments wired end-to-end.
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Ball-by-ball live scores · every format · every international
Real-time cricket data platform covering every international match across every format. Ball-by-ball updates, full stats, live feeds. Migrating to a white-label product so cricket sites can embed our feed.
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How we differ
These are the six things any serious AI engineering team does by default — and that “ship it, looks fine” teams quietly leave out.
Prompts, schemas, agent specs all live in version control with diffs and review — not pasted into a chat thread that disappears in a week.
Every prompt change runs through an eval suite — LangSmith, Braintrust, or a custom harness — before it touches a customer. Regressions fail the build.
Helicone, LangSmith, or Phoenix traces every model call with cost, latency, and quality scores. We can replay the last thousand calls, not guess at them.
Output validation, PII redaction, jailbreak-resistance prompts, structured-output schemas. The agent does not get to leak secrets, hallucinate prices, or escape the sandbox.
Multi-provider routing (Anthropic, OpenAI, Gemini, open models). Per-workload daily budgets. A retry that costs $40 is a bug we catch in CI.
A 25-year engineer reviews every diff before merge. AI writes the first draft fast — humans own the architecture, the security, and the customer trust.
What we're fluent in
How we engage
Embedded in your team, weekly. We pair with your engineers, run code reviews, ship features end-to-end, and leave behind a codebase your team can own.
Best for in-house teams who need senior AI muscle without a full-time hire.
Fixed-scope build: voice agent on your phone number, WhatsApp ordering for one venue, AI agent for one workflow. Fixed price, two-week increments, demoable at every checkpoint.
Best for clear scopes that need to ship in weeks, not quarters.
One-time architecture deep-dive: agent strategy, eval design, vendor selection, voice latency budget, multi-cloud strategy. You walk away with a written recommendation and a wired demo.
Best for teams who already have engineers but need a senior call on the AI strategy.
How we operate
Cloud + infrastructure
We've shipped serious workloads on every major cloud — and we've moved them off when the math stopped making sense. Today, the systems that power Jaagaa, Scandeer, VOX, and Cricwaves run on OVH bare metal orchestrated through Coolify. All four hyperscalers stay in the toolbox.
Years of production
Cloud Run + GKE
App Service + AKS
Where we ship today
The migration we ran on ourselves
We've run full-scale migrations off managed hyperscaler services to self-hosted bare metal — for our own production systems serving real users. Each cutover was rehearsed against a live traffic shadow, fronted by edge caches, with zero downtime. None of our production users noticed. The cost curve dropped by an order of magnitude.
The substrate we built to do that is what we hand to customers when they hire us to do the same. We'll happily ship you to a hyperscaler if your contract demands it. We'll happily ship you to bare metal if your CFO demands it. Either way, the engineering rigor is the same.
Tell us what you're building. We'll reply within one business day with a shape, a price, and a start date.