CTO-led engineering pods.
Production software in weeks, not quarters.
Senior engineers, code reviews and architecture decisions led by a founder who has shipped five SaaS products. Not a body-shop. Not Toptal roulette.
★★★★★ 5.0 · 21 verified Clutch reviews ↗Outsource a project
Fixed scope, fixed price. We own delivery end-to-end. MVPs in 6–10 weeks.
Explore outsourcingHire dedicated engineers
Senior devs embedded in your team. We run the pod, you direct it. From 7 days.
Build my teamBuild an AI product
Production AI copilots, RAG, document intelligence. Free use-case review.
Validate my AI ideaWhat makes us different from every vendor you've tried.
Senior engineers — 6–10+ years, full-time
Every engineer we field has 6–10+ years on their stack. Dedicated to your product, not shared across clients. The engineer on the demo call is the one who writes the code.
Pods, not contractors
We run the delivery rhythm — sprints, code reviews, QA, standups. You own product direction. We own execution quality.
Skin in the game
We run Kuyil AI and Garuda as live SaaS products. We face the same production pressures our clients face. That stays in every build.
What we’ve shipped
City Quest — GPS-based interactive mobile app with CMS backend
Built a full iOS and Android app with GPS quest navigation, interactive storytelling, and a complete backend CMS. Active users grew 45% in the first three months post-launch.
Staff augmentation for SaaS accounting platform — Surgical Partners
Ongoing engineering pod expanding development capacity for a SaaS that manages accounting for medical practices. $200k+ engagement, 100% sprint commitment maintained across all delivered milestones.
Cloud logistics platform for 1,000+ concurrent enterprise users
Built a cloud-based logistics management platform with a full engineering pod. The client went completely digital and achieved 39% revenue growth in the first year post-launch.
Trusted by teams that ship.
“They delivered a complex SaaS product in 10 weeks. The CTO was personally involved in every sprint review.”
“Best engineering team we've worked with. Srijith's involvement made all the difference to the outcome.”
“Went from idea to a production AI product in 8 weeks. The quality was exceptional throughout.”
“Our dedicated pod felt like an extension of our in-house team from day one. Zero ramp-up drama.”
“Transparent, senior engineers. No surprises on quality or timeline across a 12-month engagement.”
Tell us what you want to ship.
We respond within 24 hours with a written proposal. No sales pressure, no generic brochures.
- 115-min technical fit checkUse-case validation, build vs integrate recommendation, and a realistic cost range.
- 2Scoped proposal in 24hWritten proposal: team structure, timeline, and fixed price or monthly rate.
- 32-week trial sprintSee the team quality before any ongoing commitment. Walk away if it's not the right fit.
- 4Full onboarding in 7 daysEngineers embedded in your standups, repos, and sprint structure.
- ✓ No sales pressure✓ Reply in 24h✓ NDA available
Frequently asked questions
How quickly can you onboard a team?
Full pod onboarded, in your sprint, shipping within 7 days. Single engineers can start in 48–72 hours.
Do you handle AI projects end-to-end?
Yes. We design, build, deploy and operate AI systems — copilots, RAG, document intelligence, automation. Free use-case review on the first call.
What does CTO-led delivery actually mean?
Srijith personally reviews architecture decisions, code quality and delivery cadence on every engagement. You aren't handed off to an account manager after kickoff.
What time zones do you cover?
We run overlapping hours for US (Pacific to East), UAE / GCC, UK and Europe. Pods are designed around your working day, not ours.
Do you work on fixed-price projects or time & materials?
Both. Fixed-price after a paid discovery sprint for custom builds. Monthly retainer for dedicated engineering pods. We recommend starting with a 2-week trial sprint regardless.
What industries do you work in?
HealthTech, FinTech, Logistics, eCommerce, EdTech, HR tech, and enterprise SaaS. Most clients are B2B SaaS companies or enterprises building internal tools.
Where are your engineers based?
Our engineering hub is in Coimbatore, India, with a MENA office in Dubai Silicon Oasis. Pods work in overlapping hours with your team across the US, UAE, UK, Europe and APAC.
Do we own the code and IP?
Yes — completely. Full source, repositories, documentation and deployment runbooks are handed over at the end of the engagement. No licensing, no lock-in.
What's the minimum engagement?
There's no hard minimum. Most clients start with a 2-week paid trial sprint, then continue month-to-month. You can stop a pod with two weeks' notice.
How do you ensure code quality?
Every pull request is code-reviewed, CI runs the test suite on each commit, and the CTO reviews architecture each sprint. We target meaningful test coverage, not vanity metrics.
Can you sign an NDA?
Yes. A mutual NDA is standard before any technical discussion — ask and we'll send ours, or we'll sign yours.
Can we scale the team up or down?
Pods flex. Add engineers as scope grows, or scale back between phases. We give two weeks' notice either way, with no penalty.
Do you work with non-technical founders?
Often. We translate product goals into architecture and a build plan, and the CTO stays close so you're never guessing on technical trade-offs.
How do you handle security and compliance?
Least-privilege access, managed secrets, encryption at rest and in transit, and SOC2-aligned practices. For regulated industries we scope compliance needs up front — see our Security page.
Which tech stacks do you cover?
React, Next.js, Angular, Vue, React Native, Flutter, Node.js, .NET, Python, PostgreSQL, MongoDB, AWS / Azure / GCP, and AI/LLM stacks (RAG, fine-tuning, evals and guardrails).
20+ years shipping production software. Built Kuyil AI (our AI assistant platform) and Garuda (clinic management SaaS) — along with 500+ client projects across SaaS, HealthTech, FinTech, Logistics and eCommerce.
Personally reviews every engagement’s first sprint — architecture, code quality, delivery discipline. Not a sales handoff. The CTO stays in the room.
