jaagaa
AI-native engineering team

Senior engineers. AI as a force multiplier.

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

Engineering muscle. Multiplied.

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.

25+ years of engineering

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.

Founders, not freelancers

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.

AI-native execution

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.

Production-grade discipline

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

  • MIT Professional · Applied Data Science & AI Program — completed & implemented
  • Anthropic · Claude Agent SDK + MCP server builder
  • LangChain · LangGraph + LangSmith production deployments
  • Multi-cloud · AWS · GCP · Azure · OVH bare metal — production deployments on all four

What we've shipped

Four production systems. One team.

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.

Stack

  • Cloudflare Workers + R2 + D1
  • Postgres + Hono + Next.js 16
  • Multi-account CF deploy driver
  • Per-tenant AI customization
Free forever for end users · Pro tier for AI updates

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.

Stack

  • LiveKit + Twilio Voice + WhatsApp Voice
  • LangGraph orchestration · LangSmith eval
  • Whisper STT · ElevenLabs/Cartesia TTS · Piper
  • OVH edge deploy · multi-region
Production: live for restaurants + sales callbacks

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.

Stack

  • WhatsApp Business Cloud API
  • NL-search over time-bound menu graph
  • Next.js · Postgres · Stripe
  • Multi-tenant venue model
Production: restaurants + theaters taking live orders

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.

Stack

  • Real-time data ingestion + Redis pub/sub
  • Postgres + Mongo Atlas
  • AWS RDS → OVH Postgres migration
  • Edge-cached feed delivery
Production · white-label rollout in progress

How we differ

Discipline vibe coding skips.

These are the six things any serious AI engineering team does by default — and that “ship it, looks fine” teams quietly leave out.

Specs in git, not Slack

Prompts, schemas, agent specs all live in version control with diffs and review — not pasted into a chat thread that disappears in a week.

Eval-gated deploys

Every prompt change runs through an eval suite — LangSmith, Braintrust, or a custom harness — before it touches a customer. Regressions fail the build.

Observability on every call

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.

Guardrails by default

Output validation, PII redaction, jailbreak-resistance prompts, structured-output schemas. The agent does not get to leak secrets, hallucinate prices, or escape the sandbox.

Cost ceilings + model routing

Multi-provider routing (Anthropic, OpenAI, Gemini, open models). Per-workload daily budgets. A retry that costs $40 is a bug we catch in CI.

Senior review on every AI commit

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

The stack, written honestly.

LLM stack

  • Anthropic Claude (Opus, Sonnet, Haiku)
  • OpenAI GPT-4/5 · Gemini · Llama
  • Multi-model routing + cost guards
  • Eval harnesses · LangSmith · custom
  • RAG: pgvector · Qdrant · Pinecone
  • Embeddings · fine-tuning

Agentic orchestration

  • LangGraph deterministic workflows
  • LangChain · LangSmith tracing
  • Claude Agent SDK · MCP servers
  • Multi-agent supervisor patterns
  • Tool use · structured output
  • Human-in-the-loop checkpoints

Voice AI

in VOX
  • LiveKit · Pipecat · Vapi
  • Twilio Voice · WhatsApp Voice · PSTN
  • Whisper · Deepgram · AssemblyAI STT
  • ElevenLabs · Cartesia · Piper TTS
  • Sub-second latency tuning
  • Multi-lingual call routing

WhatsApp & messaging

in Scandeer
  • WhatsApp Business Cloud API
  • Twilio · Meta · 360dialog
  • Bulk messaging · template flows
  • AI agents on WhatsApp threads
  • Opt-in · consent · deliverability
  • SMS · email fallback chains

Commerce & ordering

in Scandeer
  • Multi-channel: web + mobile + WhatsApp
  • Time-of-day menus · availability rules
  • Natural-language search over inventory
  • Stripe · Razorpay · payment rails
  • Pickup · dine-in · delivery flows
  • Multi-tenant venue / SKU graph

Multi-cloud deploy

in Jaagaa
  • Cloudflare (Workers · R2 · D1 · Tunnels)
  • AWS · Azure · GCP · OVH
  • Kubernetes · Docker · Coolify
  • Multi-region · edge-first
  • Self-hosted ⇄ SaaS hybrids
  • Tailscale mesh · zero-trust

Data & real-time

in Cricwaves
  • Postgres · MySQL · MongoDB · Redis
  • pgvector · vector search at scale
  • Real-time pub/sub pipelines
  • WebSocket + SSE delivery
  • Stream ingestion · ball-by-ball loads
  • OLTP ⇄ OLAP boundaries

Engineering tooling

in Jaagaa
  • Claude Code · Cursor · Copilot
  • Custom relays + control planes
  • TypeScript · Python · Go
  • Next.js · Hono · FastAPI
  • CI/CD on GitHub Actions
  • Observability: Sentry · Grafana

Networking & infra

  • Cloudflare Tunnels · Tailscale
  • Reverse proxies · Caddy · Traefik
  • WAF rules · rate limiting
  • Custom-domain attach pipelines
  • mTLS · zero-trust mesh
  • Multi-account CF orchestration

Multi-lingual AI

in VOX
  • English · Hindi · Telugu · Tamil · Arabic
  • Per-language voice tuning
  • Code-switching in conversation
  • Translation pipelines
  • Locale-aware prompt engineering
  • Right-to-left UI + content

Product platforms

  • White-label SaaS deploy pipelines
  • Per-tenant cloud isolation
  • Live sports data (every format)
  • Voice-agent platforms
  • WhatsApp-first commerce
  • Edge-first multi-tenancy

Evals & observability

in VOX
  • LangSmith · Braintrust · LangFuse
  • Helicone · Arize Phoenix
  • Eval harnesses as code
  • Regression suites · drift detection
  • Per-prompt A/B + golden sets
  • Cost + latency + quality SLOs

AI guardrails & safety

  • Output validation · structured outputs
  • Jailbreak-resistance · prompt hardening
  • PII redaction · secret-leak prevention
  • Content moderation · policy filters
  • Sandboxed tool execution
  • Human-in-the-loop checkpoints

Production AI ops

in Jaagaa
  • Multi-model routing · cost guards
  • Per-tenant rate limits + budgets
  • Retries · backoff · graceful degrade
  • Token-bucket throttling
  • Model fallback chains
  • Per-workload daily ceilings

MCP & spec-driven dev

in Jaagaa
  • Anthropic Model Context Protocol (MCP)
  • Custom MCP servers: Slack, GitHub, infra
  • MCP clients for IDEs + agents
  • Spec-as-code prompt versioning
  • Claude Agent SDK · custom toolchains
  • Reproducible prompt deploys

RAG architecture

  • Hybrid search: BM25 + vector + re-rank
  • Cohere · Voyage · Jina re-rankers
  • Chunking strategies (semantic, structural)
  • Document parsing: LlamaParse · Reducto
  • Knowledge graphs · entity linking
  • Eval-driven retrieval tuning

AI / ML engineering

  • Embeddings: OpenAI · Cohere · BGE · E5
  • Fine-tuning + LoRA on open models
  • Distillation · quantization · pruning
  • Classical ML where LLMs over-spend
  • Self-hosted inference: vLLM · TGI · Ollama
  • MLOps: model registry · drift · A/B

Workflow & orchestration

  • n8n self-hosted · Temporal · Inngest
  • Trigger.dev · Cron + event-driven
  • Saga + compensation patterns
  • Backpressure · retry · idempotency
  • Cross-system data sync pipelines
  • AI multi-step batch jobs

How we engage

Pick the shape that fits.

01

Fractional AI engineer

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.

02

Project sprint

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.

03

Advisory

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

  • Your code, your cloud, your keys — always.
  • NDAs signed before the first technical call.
  • Weekly written updates with shipped diffs.
  • Two-week kill switch on every engagement.
  • You keep the IP. We keep the lessons.
  • Honest call when AI isn't the right tool.

Cloud + infrastructure

Hyperscaler-trained. Bare-metal-pragmatic.

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.

AWS

Years of production

  • ECS · Fargate · Lambda
  • RDS (Postgres + MySQL) · Aurora
  • S3 · CloudFront · Route53
  • VPC · IAM · Secrets Manager
  • API Gateway · SQS · SNS
  • EKS · CloudWatch · X-Ray

GCP

Cloud Run + GKE

  • Cloud Run · App Engine
  • GKE · Workload Identity
  • Cloud SQL · Spanner
  • Cloud Storage · CDN
  • Pub/Sub · Cloud Tasks
  • Vertex AI · IAM · BigQuery

Azure

App Service + AKS

  • App Service · Functions
  • AKS · Container Apps
  • Azure SQL · Cosmos DB
  • Blob Storage · Front Door
  • Service Bus · Event Grid
  • Entra ID · Key Vault

OVH bare metal

Where we ship today

  • Dedicated servers · 100+ containers
  • Coolify orchestration · GitOps
  • Tailscale mesh networking
  • Self-hosted Postgres · Redis
  • Cloudflare Tunnels for edge
  • Multi-host · multi-zone failover

The migration we ran on ourselves

From AWS + GCP Cloud Run to OVH bare metal — same SLAs, a fraction of the bill.

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.

Zero-downtime cutoversShadow-traffic rehearsalGitOps · containerizedMesh networkingFull observability

Hire the team. Ship the system.

Tell us what you're building. We'll reply within one business day with a shape, a price, and a start date.