End-to-end AI-native product engineering services, from discovery through MVP to scale. We build custom AI products on strong architecture, generative AI applications, AI agents, embedded UX, and human-in-the-loop discipline.
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If you are a CTO or VP of Engineering staring at five-plus years of legacy debt, a stalled cloud migration, and a board asking about AI on a 90-day clock, keep reading. This page is calibrated for the buyer who needs results before the next board meeting. Application modernization is the unlock.
Scenario 01
You’ve 90 days before the silence becomes a liability. Another strategy deck won't fix that. Agentic AI turns the opportunity into a working bet, backed by AI MVP development & KPIs you can defend at the next QBR.
"I walked into the next board meeting with a slide that wrote itself."
Scenario 02
Senior engineers cost $250K plus equity, are hard to hire, and slow to ramp. You lack time to build a team. You need AI-first product engineering expertise to deliver scalable AI product infrastructure and accelerate execution.
"I got the senior AI product engineering team I wanted at the price I had."
Scenario 03
12-hour time zones. Endless “I’ll get back to you”. Account managers who can’t decide. An AI product development partner should have answers & challenge assumptions, not wait to be told what comes next.
"For the first time, my partner has the answer before I ask."
Scenario 04
Five years of integrations held together with duct tape. Weak AI product architecture is a security risk and a velocity drag, the reason every AI initiative stalls by week two of build.
"We shipped twice as fast last quarter, on the same headcount."
Scenario 05
Your CEO saw it on LinkedIn this morning. The clock started yesterday. AI prototype development gets something visible before the next board cycle, built solid so that it doesn't need a rebuild once it's live.
"We caught up in 90 days, and we did it without burning the team out."
Scenario 06
The bet paid off. Traffic is up, costs are spiking, and the architecture that got you here is bending. You need to scale without rewriting the company, and without telling investors you're rebuilding.
"We 8×'d the load without touching the foundation."
Five familiar problems. Five moves from Unified Infotech, an AI-native product engineering company. Five outcomes you can defend without a footnote. No abstractions. No promises. Just translations.
A buildable plan, not a deck.
Ship a product, not a prototype.
Agents that survive a typical work day in production.
AI users actually trust.
From bet to production in one engagement.
Compliance isn't an afterthought.
Enabled the digital transformation of a translation company, fuelling business growth
Built an app from scratch to enable crypto to cash payments
Modernized a legacy website for a leading real-estate tech provider
Designed and optimized a new intuitive website for an edtech client
Developed a bespoke multilingual app to collect and analyze customer feedback
A 30-minute working session with a senior AI architect. You walk away with three prioritized opportunities, a realistic ROI estimate, and a 90-day roadmap.
No deck, no sales pitch, no follow-up loop. Keep it whether you work with us or not.
What You Walk Away With
Most agencies sell one AI architecture pattern and bend every problem to fit it. Our AI product architecture services start with what matches your workload, and tell you when we'd pick differently.
An orchestrating agent calls tools, decomposes tasks, and escalates when uncertainty crosses a threshold. Right when the workflow is multi-step and judgment-heavy.
Retrieval-augmented generation grounded in your knowledge. Best when accuracy and citations matter more than reasoning depth.
LLM product development fine-tunes a domain model that carries the load. When the task is narrow, repeatable, and off-the-shelf models aren't quite right.
A discovery sprint runs 3 weeks. A first shippable MVP typically ships in 8 to 16 weeks from kickoff. Scale-up engagements run 4 to 12 months. The variable is rarely engineering time; it is decision speed, integration complexity, and whether your data is AI-ready or needs to be made so.
You do. From day one. We work in your repositories, your cloud accounts, and your model provider keys. We do not keep a parallel copy of the codebase. When the engagement ends, there is nothing to transfer because there was never anywhere else for the code to live.
A senior consultant who has shipped similar AI products leads every engagement, the same person who replies to your first inquiry. Around them: a tech lead, an AI engineer, a product designer, and a QA-and-evaluation specialist. Resumes and LinkedIn profiles of every assigned engineer are shared before signing.
Yes. Our AI integration approach is API-first, vendor-agnostic, and zero-downtime by design. We assess your existing stack, identify the embedding points, and deliver AI features that feel native to your product without forcing a rebuild.
SOC 2, NDA, and segregated infrastructure are default on every engagement. HIPAA-ready architectures for healthcare AI development and FERPA-aligned builds for EdTech AI products are available. Regional data residency option included.
Years in market
Clients globally
Clutch rating (100+ reviews)
Engineers, senior-led
Savings vs. boutique rates
Reply within 4 hours. Proposal in 48. Senior consultant on the first call, not a sales rep.
Every conversation starts with a named senior consultant who has shipped what you’re scoping.
