How we work with you

Four ways to engage. One operating model.

Whether you're shipping an MVP, scaling an enterprise platform, productionising AI, or escaping a data centre — pick the starting point that matches your stage. Same senior pods, same weekly demos, same outcomes-first contract.

Four Solutions

A starting point for every stage and shape.

Each engagement runs the same way — only the scope, scale, and stack change.

01 Enterprise Platforms

Mission-critical systems engineered for 10× scale and audit-grade compliance.

For organisations where downtime is measured in lost revenue and breached SLAs. We design platforms that survive the regulator's audit, the Black Friday peak, and the quiet Tuesday afternoon — for ten years, not ten months.

Built for
  • Banks, insurers & lenders
  • Healthcare networks & payers
  • Large retail & telcos
  • Regulated SaaS & marketplaces
What's included
  • Multi-region architecture & failover
  • Audit-grade observability & SOC controls
  • Identity, RBAC, SSO & data residency
  • Zero-downtime migration paths
  • 24/7 production support tier
Outcomes
  • 10×Horizontal scale headroom
  • 99.99%Uptime SLA, multi-region
  • SOC 2ISO 27001 audit-ready
  • 48hAudit-trail reconstruction
02 Startup Accelerator

Whiteboard to investor-ready MVP in eight to twelve weeks.

For pre-seed and Series A founders racing the runway. We compress discovery, design, and engineering into a single sprint plan — so you can show working software to users (and to the cap table) before the cash runs out.

Built for
  • Pre-seed & Series A founders
  • Corporate intrapreneurs & spin-outs
  • Solo founders without engineering
  • Teams shipping a v1 against a deadline
What's included
  • 2-week discovery & prototype
  • 8–12 week MVP build, demo every Friday
  • Investor demo pack & pitch-ready metrics
  • Hand-off docs & 30-day post-launch support
  • Optional ongoing pod after launch
Outcomes
  • 8–12Weeks to MVP launch
  • 6 wksFirst investor-demo build
  • $50k+Typical engagement range
  • 70%Of clients raise within 6 months
03 AI-Powered Products

Production-grade AI with guardrails, evals, and observability.

A demo isn't a product. We take RAG pipelines, agents, and fine-tuned models from a notebook to production — with the eval suites, cost controls, and rollback paths a real business needs before betting workflows on a language model.

Built for
  • Product teams adding AI to existing apps
  • AI-native startups past the demo stage
  • Enterprises piloting internal copilots
  • Teams stuck between PoC and production
What's included
  • Eval suite & prompt registry
  • RAG pipelines & vector infrastructure
  • Agent orchestration & safety guardrails
  • Cost, latency & quality observability
  • LLM-Ops handoff to your team
Outcomes
  • <500msp95 inference latency
  • 95%Factuality on golden evals
  • 60–80%Cost vs naive RAG
  • 6–8 wksPoC to production timeline
04 Cloud Migration

Move fast without breaking compliance, cost, or uptime.

Whether you're escaping a data centre, optimising cloud spend, or moving between providers — we plan and execute the cutover with zero-downtime patterns, infra-as-code, and a FinOps loop that keeps the savings around long after we leave.

Built for
  • Enterprises exiting on-prem & data centres
  • Teams hit with surprise cloud bills
  • Multi-cloud & hybrid setups
  • Companies preparing for M&A or compliance
What's included
  • Migration assessment & roadmap
  • Lift-and-shift or full replatform
  • Containerisation & Terraform IaC
  • Zero-downtime cutover playbook
  • FinOps loop & post-migration tuning
Outcomes
  • 30–45%Cloud spend reduction
  • 99.95%Uptime through cutover
  • 2×Faster deploy cycles
  • 100%Compliance preserved end-to-end
Typical stack
TerraformKubernetesAWS / GCP / AzureArgoCDDatadogCrossplane
Plan a migration
FAQ

Choosing a solution, answered honestly.

The questions most teams ask before they pick a starting point.

Most teams don't. The four solutions are common starting points, not strict boxes. Book a 30-minute call with a senior engineer — we'll listen to where you are, then recommend the closest fit (or tell you honestly if we're not the right team).
Yes — that's the most common path. Many clients start with the Startup Accelerator, graduate into a long-running enterprise build, and bolt on an AI workstream later. The pod, contracts, and codebase carry over seamlessly between phases.
Both, depending on the phase. Discovery and MVP-style sprints run on fixed milestones tied to outcomes. Ongoing enterprise pods, AI workstreams, and operate-phase work usually move to a dedicated-team model with monthly invoicing and a clear scope review every sprint.
The four are starting points, not the menu. We regularly run custom engagements — DevOps audits, security hardening, embedded staff augmentation, data platform work, modernisation slices. Same pod model, same operating cadence, scope shaped to your problem.
Every pod is senior-only (6+ years), individually interviewed for your problem space, and named before the contract is signed. You meet the tech lead and core engineers on the kickoff call. No rotations or junior backfills without your explicit sign-off.
You do — always, from commit one. NDA is signed before the first call. Source, designs, infrastructure-as-code, secrets, and operational runbooks live in your accounts throughout the engagement, not ours.
A two-week discovery sprint. It's a fixed-scope engagement that ends with a written solution blueprint, a risk map, and a milestone-based proposal for the next phase. You're free to take the blueprint and build with anyone — there's no obligation to continue.
We're headquartered in Delhi with distributed pods across IST, GMT, and EST. Every engagement guarantees at least four hours of live overlap with your team daily, scheduled around your working hours — not ours.
No. The "typical stack" on each solution is our default — chosen because we ship fastest in it — but we routinely build in whatever fits your existing systems, hiring plan, and long-term ownership. Stack alignment is part of the two-week discovery.
Every engagement includes a 30-day post-launch window — bug fixes, observability tuning, on-call coverage, and a clean hand-off to your team. After that, you can move to a retainer (on-call SRE, embedded engineering, or quarterly platform reviews) or take everything in-house. No lock-in either way.
Ready to Start

Let's build your next big thing.

From MVP to enterprise scale — we've got you covered.

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NDA-First Approach 48hr Kickoff 5-Star Rated