Reveronix Tech Solutions
Engineering Ideas. Building Impact.
We partner with founders and enterprises to design, build and scale intelligent products and platforms.
Our team has shipped products at
What we do
Five ways we work with you
From idea to shipped product, AI-powered workflows, data infrastructure, devops ownership, and engineers embedded in your team.
Why we built Reveronix
We've all watched founders pay agency rates for engineering that didn't ship — slide decks, status reports, billable-hour theatre. Or worse: they've hired a junior team that learned their domain on the founder's dime.
Reveronix exists because the in-between is missing. Senior engineers shouldn't only be available to Series-B teams with a TA function and a $400K runway for a CTO hire. The founder shipping their first MVP deserves the same quality of work.
We're a small team of senior engineers from IITs, BITS, and NITs, with 3 to 15 years shipping at companies like Atlassian, Amazon, Paytm, and HDFC Bank. We work directly with founders, ship in weeks, and price for the stage you're actually at.
That's it. No fluff. Just the team you wish you could afford, building the thing you actually need.
How we work
Four steps. Four to eight weeks. Working software.
- 01
Discover
We talk. We map your idea, constraints, and outcomes. By end of week one, we have a real plan with a real date.
- 02
Design
Flows, wireframes, visual direction. We agree on what we're building before we build it.
- 03
Build
Iterative builds. Weekly demos. Slack updates daily. You see progress, not status reports.
- 04
Ship & operate
Production deploy with monitoring. Then we either hand the keys over or stay on as your engineering team.
Featured capability
AI that earns its place in production.
We build agentic, RAG, voice, and multi-modal AI systems with the rigour they need to actually run — evals on every change, observability built in, fallbacks for when models hallucinate.
RAG systems
What we build
Semantic search over your docs, contracts, knowledge base — with citations and confidence scores so the answers are auditable.
Who needs it
Teams whose data is in 5+ places and whose people can't find what they need without DM-ing each other.
How we engage
Four ways to work with us.
Sized to your stage. No public price tags — every engagement is scoped together.
Founder Sprint
For: Pre-seed and seed founders shipping their first version.
- Discovery + scoping in week 1
- Working MVP in 4–6 weeks
- Daily Slack updates, weekly demos
- Production deploy + 30-day support included
Timeline: 4–8 weeks
Built around your scope — talk to us.
Embedded Engineer
For: Teams that need senior engineering capacity now.
- Senior engineer joins your stand-ups
- Same accountability as your full-time team
- Month-to-month, scale up or down
- Knowledge transfer when engagement ends
Timeline: Month-to-month
Per-engineer monthly rate — talk to us.
AI Build
For: Teams building agentic, RAG, voice, or OCR systems.
- Workflow identification + ROI framing
- Prototype with real data in 2 weeks
- Evals built before production
- Production hand-off with observability
Timeline: 6–10 weeks
Scope-based — talk to us.
Fractional CTO
For: Pre-CTO startups that need senior technical judgment in the room.
- Tech strategy and architecture decisions
- Hiring support and team design
- Vendor/tool selection
- Optional code reviews and pairing
Timeline: 3–12 months
Days-per-month engagement — talk to us.
Recent thinking
Notes from the workshop.
The DevOps Minimum for a 5-Person AI Startup
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Read postHave an idea? Let's get to work.
A 30-minute call is the fastest way to know if we're a fit.