#TechnologyCentric
AI & Data Solutions
Centric3's AI & Data Solutions covers AI strategy, build, and productionization — Generative AI, Data Analytics, NLP, and Agentic AI — taking a stalled demo to a reliable, observable production system. We sit one tier above AI build tools like v0, Lovable, and Cursor: the senior team that shipped for Apple, Disney, and Meta now builds your AI.
The senior team behind the work
- Apple
- Disney
- Meta (Facebook @Scale)
- Kodak
- HP
#ClientCentric
AI that ships — not another demo.
AI build tools get you a demo. We get you a production system. Centric3 takes funded teams from an AI prototype that stalled at the demo stage to a reliable, observable, secure system — Generative AI, analytics, NLP, and agents — built and owned by senior engineers. Beyond the code. For our thinking on where AI is heading, see our AI hub ↗.
- StrategyRight use case
- PrototypeProve value fast
- ProductionizeReliable & secure
- ScaleCost-efficient
#ProcessCentric
Capabilities
One senior team across the full AI lifecycle — from strategy to a system that holds up in production.
Generative AI
Production-grade GenAI — RAG, fine-tuning, and LLM features engineered to survive real users, not a one-off demo.
Data Analytics
Pipelines, warehousing, and analytics that turn scattered data into decisions you can act on.
NLP
Language understanding — classification, extraction, search, and summarization tuned to your domain.
Agentic AI
Autonomous, tool-using agents and workflows that take action safely — with guardrails and human oversight.
AI Productionization
Move a GenAI prototype to a reliable, observable, secure production system. This is the tier above build tools like v0, Lovable, and Cursor.
Not sure where to start? The AI Readiness Assessment is an honest five-minute self-diagnostic that points you to the right first move.
#ResultsCentric
Why teams build AI with Centric3.
Senior ownership, marquee pedigree, and AI built to hold up in production.
Founder-led, senior-built
The people who pitch you are the people who build it. Senior AI engineers, no junior hand-off. Beyond the code.
Marquee-pedigree team
Two decades of combined team experience shipping for Apple, Disney, and Meta. Centric3 was founded in 2022.
Productionization, not demos
We sit one tier above the AI build tools — durable, observable AI systems that hold up under real users and real scale.
Engagement value
$500K–$1.3Maverage engagement value
[PLACEHOLDER — illustrative band, pending published figures]
Engagements are scoped for enterprise-scale value, not a low MVP price. See how we structure Advisory, Build, and Embedded work.
See engagement models#ImpactCentric
Selected work.
AI and data builds shipped by the same senior team.
ARNI
An AI assistant platform engineered prototype → production.
OPē
A data-driven product platform built by the senior team.
Right to Bear Insurance
A data and quoting platform for a regulated insurance market.
Client (confidential) — AI productionization
Outcome de-identified at client request.
Outcome metrics are published only once a client confirms them.
#ClientCentric
AI questions, answered.
The five things teams ask before they put AI into production with us.
Can you productionize an AI prototype we already have?
Yes — that is the core of AI & Data Solutions. We take a GenAI demo that stalled and turn it into a reliable, observable, secure production system, with senior engineers on it from day one. No junior hand-off, no throwaway rebuild.
Our data isn't ready — can you still help?
Yes. We assess your data readiness honestly and build the pipeline and quality layer first, so the AI has something solid to stand on. If you want a quick read first, the AI Readiness Assessment is an honest five-minute self-diagnostic — a starting point, not a score to game.
What will AI cost us at scale?
Engagements are scoped for enterprise-scale value rather than a low MVP price — average engagement value sits around $500K–$1.3M [PLACEHOLDER — illustrative band, pending published figures]. We engineer for cost-at-scale too: the right model for the job, token and compute efficiency, and an architecture that doesn't get more expensive as you grow. See engagement models.
Who owns the IP — and our data and models?
You do. Engagements include clean IP assignment — the code, the prompts, and any fine-tunes we build are yours on delivery. Your data and trained models stay yours; we don't reuse them elsewhere. It's documented plainly in the agreement.
Why Centric3 over a generic AI vendor or offshore shop?
A small senior team that is accountable, in your time zone, and stays with the work — no layers, no hand-off, no overnight gap. It is the same team that shipped for Apple, Disney, and Meta, sitting one tier above the AI build tools.
#ResultsCentric
Ready to put AI into production?
Tell us what you're building. A senior engineer — not a sales rep — replies within one business day.