We design, build, and scale AI-powered software for startups and growing businesses — architecture-first, production-grade, delivered by a founder-led team of senior engineers who write the code themselves.
Your Data
Docs, tickets, product data
RAG Pipeline
Retrieval, grounding, evaluation
LLM
Cost-aware model selection
Your Product
Shipped, monitored, owned by you
Trusted by teams building
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Years of engineering experience
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Projects shipped to production
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Client satisfaction rate
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Industries served
If one of these sounds like where you are right now, you're in the right place.
“We need AI features.”
You know AI belongs on the roadmap, but you don't have the in-house expertise to ship it responsibly — or you tried, and it didn't survive contact with real users.
See how: AI Integration“We need senior engineers.”
Your roadmap has outgrown your current team, and a senior hire is months away from being productive — if you can find and close one at all.
See how: Dedicated Engineering Teams“We need to launch faster.”
Every extra week is a week of runway spent, or a week your competitors get to define the category first.
See how: AI Product Development“We have an MVP.”
It proved the idea, but it wasn't built to carry paying customers — and the technical debt is starting to slow every new feature down.
See how: Enterprise Software“We need to modernize legacy software.”
The system running your business is the same reason your team is afraid to change anything in it.
See how: Enterprise SoftwareEach engagement is scoped around a business outcome, not a headcount request — here's what to expect from each.
Build a new AI-native product or feature from scratch
Ship an AI capability customers actually trust and use, not a demo that stalls after the pilot.
Ideal for
Funded startups and product teams validating an AI-first product or feature
Timeline
6–12 weeks to a production pilot
Typical ROI
Teams typically reach a sellable pilot in one quarter, instead of a year of in-house trial and error.
Add AI capability into a product you already run
Ship AI features into your existing product without destabilizing the platform customers already depend on.
Ideal for
Growing SaaS and enterprise teams with a live product and a backlog of AI feature requests
Timeline
4–8 weeks per integrated feature
Typical ROI
Clients have cut support first-response time by more than half after grounding an AI assistant in their own documentation.
Build or modernize the platform your business runs on
Replace fragile spreadsheets and legacy systems with software your operations team can actually rely on.
Ideal for
Mid-market and enterprise teams modernizing legacy systems or building internal platforms
Timeline
8–20 weeks depending on scope
Typical ROI
Past engagements have cut monthly reconciliation cycles from two weeks to under a day.
Extend your engineering team without the hiring cycle
Add senior engineering capacity to your roadmap in weeks, not the 3–6 months a senior hire typically takes.
Ideal for
Founders and VPs of Engineering who need senior capacity now, not headcount six months from now
Timeline
Start within 1–2 weeks of a signed scope
Typical ROI
No recruiting cost and no ramp-down risk — scale the engagement up or down with your roadmap.
We built Kinetix DataTech around what growing companies actually need from an AI engineering partner — clarity, speed, and senior-level judgment.
The founders who scope your project are the same people reviewing the architecture and the code — not handed off to a delivery team you've never met.
Every engagement is staffed by senior engineers with 8+ years of hands-on experience. You're not paying to train someone on your codebase.
The same engineers who ship your product's web and backend also ship the RAG pipeline behind it — one team, one architecture, no hand-off gaps.
We design for the product you'll have in two years, not just the one you're launching next month — production experience, not prototypes.
No account-manager layer between you and engineering. Fixed-scope proposals, milestone check-ins, and direct access to the people writing the code.
HIPAA, SOC 2, and PCI-aligned practices applied from the architecture stage — not retrofitted after an audit finding.
Most of our clients stay with us for ongoing support and their next feature roadmap — we build relationships, not just software.
No black-box delivery. You see progress every two weeks and always know what happens next.
1–2 weeks
We start by understanding your business, users, and constraints — not just your feature list. We map requirements, technical risks, and success metrics before a single line of code is written.
1–3 weeks
System architecture, data models, and clickable prototypes let you validate the technical approach and the product flows before development begins — decisions get made on paper, not mid-sprint.
4–16 weeks
We build in short, demoable sprints with continuous integration from day one. You see working software every two weeks, not a single reveal at the end.
Ongoing + 1–2 weeks
Automated test coverage, manual QA passes, security review, and performance testing before anything reaches production — bugs get caught by us, not your customers.
1 week
We handle production deployment, monitoring setup, and a rollback plan — launch day should be uneventful, and that's exactly how we plan it.
Ongoing
Post-launch, we stay involved — monitoring performance, patching dependencies, and building the next iteration based on real user data.
A sample of platforms we've designed, built, and shipped to production.
Different industries carry different constraints — compliance, scale, or margin. We build accordingly.
We choose tools for longevity and fit, not resume-padding — here's what powers most of our builds.
Direct feedback from the founders and leaders we've partnered with.
“They rebuilt our claims platform while it was live, in production, with zero downtime. The team communicated every risk before it became a problem — not after.”
R. Anand
VP of Engineering, Series B InsurTech
“We came in with a rough idea and a deadline for a demo day. Kinetix DataTech shipped a working MVP in six weeks that our investors could actually use, not just look at.”
S. Okafor
Co-Founder, Early-Stage Logistics Startup
“The RAG-based support assistant they built cut our first-response time by more than half, and it actually cites the right documentation instead of hallucinating.”
M. Torres
Head of Customer Success, B2B SaaS Platform
“Our previous agency left us with a codebase nobody wanted to touch. Kinetix DataTech untangled it, documented it, and shipped three new features on top within the quarter.”
J. Lindqvist
CTO, Mid-Market E-Commerce Retailer
“Healthcare compliance is unforgiving. They understood HIPAA requirements from the first architecture conversation, which saved us months of back-and-forth.”
D. Whitfield
Director of Product, Digital Health Platform
“Clear milestones, honest timelines, and a fixed quote that didn't move once during the engagement. That alone put them ahead of every other vendor we evaluated.”
P. Meyer
Operations Director, Manufacturing SME
Can't find your answer here? Visit our full FAQ page or reach out directly.
Tell us about your project. A senior engineer — not a salesperson — will reply within one business day with honest, practical next steps.