Honest answers,
not marketing.

Book a 30-minute discovery call from the Contact page. You walk a solutions engineer through the problem. We come back in 48 hours with a recommended shape (sprint, MVP, retainer, or FDE), a starting budget range, and an estimated timeline. If we're a fit, we send a fixed-scope SOW. If we're not, we'll tell you and recommend someone better.

Founders launching MVPs, SMEs modernizing operations, agencies extending their capability, and enterprise teams running AI pilots. We've worked with companies from seed-stage startups to large enterprises. We bias toward teams where decisions move fast and engineering is taken seriously.

Yes. We sign a standard mutual NDA before discovery details are shared. Most of our work is under NDA - which is why our public case studies are anonymized. We'll send named references on request after first contact.

Bengaluru, India. We work remote-first but our Forward Deployed Engineers travel - we've shipped on-site engagements across India, the UAE, and the UK in the last 18 months. International FDE deployments are quoted including travel and accommodation.

30 minutes. You walk us through the problem - users, current setup, the outcome you want. No SDR, no qualification quiz. The solutions engineer asks hard questions, takes notes, and tells you on the call whether we can help. If we can, you'll get a written recommendation and budget within 48 hours.

An FDE is a senior engineer who deploys to your office for 1–4 weeks and ships software next to your operators. They sit at a desk in your warehouse, factory, retail store, or hospital. They watch how invoices actually get processed. They notice the spreadsheet macros nobody documents. They build the right tool, in context, with your team. It's the model Palantir and the best AI labs use - and it's how we ship internal tools that actually get used.

FDE pays off when the problem lives on-site: warehouse ops, hospital workflows, retail floors, factory lines, field-force operations. Or when adoption has failed before - usually because the previous tool was built far from the people who use it. For pure software products with digital users, remote is fine. We'll tell you which fits.

FDE deployments are quoted individually based on length, location, and the build scope they support. Includes the engineer's time, travel, accommodation, and per-diem, plus the actual build work. Most combine with an MVP Build or Internal Tool Build package. International deployments are quoted separately.

We do. Travel, accommodation, per-diem, and any equipment the engineer needs are bundled into the FDE quote. You don't get a surprise invoice for flights. Domestic deployments are typically straightforward - international involves slightly more setup (visa, longer lead time).

You do. Full source, infrastructure access, documentation, and runbooks are yours from day one. The code lives in your Git org. The infrastructure lives in your cloud account. No lock-in, no proprietary platform you have to keep paying for. If we vanish tomorrow, your team can keep shipping.

We pick based on the problem. Common defaults: Next.js + React for frontend, Node.js / Python / FastAPI for backend, Postgres for primary data, Redis for cache, Vercel / AWS / GCP for deploy. AI: OpenAI, Anthropic, Gemini, LangChain, LlamaIndex, pgvector. Mobile: React Native + Expo. But we'll use what your team already runs if there's a reason to.

Code in your Git, infrastructure in your cloud, secrets in your secret manager. For LLM work, we default to enterprise tiers (no training on your data) and offer on-prem / VPC-deployed open-source models where required. We've shipped under SOC2, ISO 27001, HIPAA-adjacent, and DPDP-Act compliant requirements. Security questionnaires answered honestly and quickly.

Yes. We'll spend day one reading the code, the conventions, and the CI. We'll match the style, not rewrite it. PRs go through your normal review process. If we recommend a refactor, it'll be a separate explicit scope. We've worked in monorepos, microservices, and the occasional legacy PHP codebase.