AI Engineering Studio
AIROHI
Ship production AIwithout building an AI team.
Strategy, design, engineering, and deployment — one senior partner. Includes 180 Days of AI Care after launch, so you don't get a demo and a goodbye.
3×
Lower delivery cost vs. building in-house*
Weeks
Typical path to production*
180
Days of included AI Care
Day 1
Senior consulting, no ramp-up
*Timelines and costs vary by scope, complexity, and existing systems.
Who we work with
FinTech, healthcare, logistics, SaaS, and other teams where AI must be reliable — not experimental.
Capabilities
AI that ships. Not slides.
From first architecture decision to production systems — with senior consultation and six months of post-launch care.
Additionally
Need the full product, not only the AI layer?
We also design and ship complete digital products — SaaS, internal tools, ecommerce, and mobile — when AI needs a real product around it.
- AI powered web applications
- SaaS platforms
- Enterprise software
- Ecommerce solutions
- Mobile applications
- Internal business tools
Not sure where to start?
Talk through your use caseHow engagements run
A path you can brief your board on.
Clear phases. Clear ownership. Support that continues after go-live.
01
Discovery
Align on business goals, constraints, and what success means in numbers.
02
Strategy
Choose AI bets that move revenue, cost, or speed — and kill the ones that won't.
03
Architecture
Design for scale, security, and integration with systems you already run.
04
Build
Ship maintainable production software, not a fragile prototype.
05
Deploy
Cloud or on-prem with monitoring and rollback from day one.
06
AI Care
180 days of support, optimization, and consultation after launch.
The stack
Built on tools that fit the problem — not a vendor pitch.
Model-agnostic by design. We pick for quality, cost, and control.
Language & reasoning
Choose the right model for cost and quality — without locking into one vendor. OpenAI, Claude, Gemini, Llama, Mistral — orchestrated through OpenRouter and LiteLLM.
Agents & retrieval
Reliable agents and grounded answers from your data. LangGraph, CrewAI, AutoGen. Qdrant, Pinecone, pgvector with hybrid retrieval and re-ranking.
Tools & context
Connect AI to the systems your teams already use. Custom MCP servers, CRM / ERP / HRMS connectors, API orchestration.
Infrastructure
Deploy with monitoring and rollback from day one. AWS, GCP, Azure, Vercel. Supabase, PostgreSQL, MongoDB, Redis. Docker and Kubernetes.
The decision
Build in-house later. Ship with experts now.
Most teams don't need a 12-person AI org on day one. They need a production system and a partner who stays after launch.
Building entirely in-house
- Months to hire and onboard before first release
- Steep learning curve on models, evals, and ops
- Split ownership across vendors and roles
- Support ends when people leave
Partnering with AIROHI
- Senior AI engineering from the first call
- Production systems scoped in weeks, not quarters*
- Strategy, build, and deploy under one owner
- 180 Days of AI Care included after launch
01
No recruiting delay
Senior AI engineering and consultation from the first conversation.
02
Lower cost to deliver
Up to 3× less than standing up a full in-house AI capability — scoped to your goals.*
03
Production, not pilots
Systems you can deploy, monitor, and own — not open-ended experiments.
04
We stay after launch
Six months of bug fixes, AI optimization, and consultation so the system keeps performing.
*Timelines and costs vary by scope, complexity, and existing systems.
FAQs
Clear answers. No fluff.
Why 180 Days of AI Care?
Most AI projects fail after the handoff — models drift, prompts break, and integrations need tuning. Six months of included support keeps your system stable while your team builds confidence.
What does AI Care include?
Bug fixes, performance monitoring, prompt and model optimization, RAG knowledge updates, monthly review calls, and architecture guidance. New features and major scope changes are scoped separately.
How do engagements typically start?
With a discovery conversation to understand goals, constraints, and success metrics. From there we propose a clear scope, timeline, and engagement model — fixed project, retainer, or advisory.
Do you work with existing teams?
Yes. Many clients already have engineers or product owners. We plug in as an expert AI partner — accelerating delivery without replacing the people you already trust.
How long does a typical project take?
Depends on scope. Many MVPs and focused AI implementations ship in weeks; larger platforms are phased. We'll give a clear timeline after discovery.
What happens after 180 days?
You can continue on a retainer, bring work fully in-house with our handoff, or engage us for the next build. No forced lock-in.
Next step
Bring us the problem. We'll tell you if AI is the right fix.
A short discovery call. Clear recommendation. If we build, you get senior delivery and 180 Days of AI Care.