AI that answers your customers, runs your back office, and reports on your business — designed, built, and run in production by a senior team. From your first automated workflow to enterprise scale.
Experience across
What we do
AI that answers customers, runs operations, and surfaces insight from your data — shipped with the engineering to run reliably, every day.
Autonomous agents and agentic workflows that take real actions — not chatbots that just talk. We replace brittle RPA with systems that reason, call tools, and keep humans in the loop where it matters.
Copilots, assistants, and chat over your own data — built to ship, not to demo.
Answers from your own documents, with citations · copilots & chat · PDFs and emails turned into clean data · tuned for cost & quality
The data foundation AI runs on — plus insight your whole team can use.
Every system feeding one source of truth · questions in plain English · dashboards your team trusts · forecasting & prediction
The full-stack muscle to deliver and run it all — web and mobile as the surface your AI ships on.
Web & mobile apps · APIs & integrations · legacy modernization · cloud-native on AWS / GCP / Azure
AI spotlight
Most AI demos die in the gap between prototype and production. We live in that gap. We build agents with tool use and MCP, RAG over your private data, and LLM automation — wrapped in the evals, observability, and guardrails that make them reliable and safe to run.
Model-agnostic by design: we build on frontier models like Claude and GPT, and open or on-prem models when data residency or cost calls for it. We own the quality loop.
Tell us your use-case →Resolves the majority of tickets autonomously, escalates the rest with full context.
Runs repetitive back-office workflows end to end, with approvals where it counts.
Q&A over internal docs, contracts, and tickets — answers with citations.
Domain-tuned for your field — healthcare, finance, logistics — with the right guardrails.
Data & analytics
Most AI projects fail on data, not models. We connect your systems into one clean, reliable foundation that makes AI answers accurate — then add dashboards and plain-English analytics so anyone on your team can ask a question and trust the answer.
Connect
Every system feeding one clean source of truth.
AI-ready
The retrieval layer that makes AI answers accurate.
Ask
Plain English in, the right chart out.
Predict
Forecasting & ML on your own data.
How we work
A tight loop that finds the highest-ROI use-case and gets it live — then keeps making it better.
We find the highest-ROI AI use-case and define what success looks like.
A working agent or feature in weeks — something real you can use and react to.
Evals, guardrails, observability, and the engineering to make it reliable.
Live in production, measured against the goals we set on day one.
Hosted, monitored, and improving — we operate it with you, or hand it over clean.
Ways to work with us
The lowest-risk way to start. We map your workflows, find the automation with the highest ROI, and deliver a working proof-of-concept — plus a roadmap you keep, whoever builds it.
Fixed fee, quoted on the first call.
A defined build — an agent, a product, a data platform — with a timeline and a quote up front.
Senior engineers working inside your team — your roadmap, our AI-first delivery speed.
A retainer for running what we've shipped, new automations, and continuous improvement.
Outcomes
Representative outcomes — real case studies on request.
40%
An agent that runs back-office workflows end to end for an operations team.
10k+
A RAG assistant answering questions over a sprawling internal knowledge base — with citations.
6 wks
An AI-native product — agent, app, and data layer — shipped for a seed-stage startup.
24/7
A copilot resolving the bulk of inbound tickets without a human in the loop.
1 platform
A legacy monolith moved to cloud-native services, with an AI layer added on top.
0 analysts
Plain-English questions over company data — every team answers its own, no report backlog.
Why AI-first delivery works — the industry numbers
55%
faster task completion for AI-assisted engineers (GitHub, 2022)
20–45%
time saved on routine knowledge work with GenAI (McKinsey, 2023)
~75%
of developers report measurable productivity gains (DORA, 2024)
We build with this leverage every day — it's why a senior team this size ships what used to take one five times larger.
Tech we use
Model-agnostic by design — frontier, open, or on-prem models, picked for your data and your budget.
Why us
An AI-native product in weeks — agent, app, and data layer — without building a team first. We move at founder speed and scale with you.
How we ship fast →Put AI to work on real busywork and get answers from your own data — a full product team's output without the hiring overhead.
Start with a 2-week audit →Adopt agents and LLMs safely — on your data, with evals, guardrails, and governance — and modernize legacy systems along the way.
How we handle security →Security & trust
Straight answers to the questions your security and legal teams will ask — because we've answered them before.
Client data is never used to train models, and never leaves the environment we agree on.
Confidentiality and data-processing agreements from day one — we sign yours or bring ours.
Scoped credentials, audit trails, and human approvals for every system an agent touches.
Healthcare and telecom backgrounds on the founding team — we build HIPAA-aware from the start.
Nothing ships without an evaluation harness proving quality, safety, and cost — and it keeps running after launch.
Deploy in your VPC, on-prem, or on infrastructure we run — data residency decides, not us.
Team
You work directly with the people building your product — no layers, no handoffs. A senior core team, extended by a vetted specialist network when the work calls for it.
FAQ
NDAs and data-processing agreements come first, then we agree where your data lives and it stays there. It's never used to train models, and agents get least-privilege access with audit trails. Details in Security & trust.
The lowest-risk start is the two-week, fixed-fee AI Opportunity Audit. Builds are quoted after Discover with a fixed scope and timeline — no open-ended time-and-materials surprises. Ongoing work runs as a monthly retainer.
Yes — most of our work plugs into systems and teams that already exist. We integrate with what you run today, coordinate with in-house IT on access and security, and document everything so your team owns what we leave behind.
Your choice: we run it — hosting, monitoring, and continuous improvement on a retainer — or we hand it over clean, with documentation, training, and a warranty period. Either way it ships measured, so you can see it working.
We're model-agnostic: frontier models like Claude and GPT where they fit, open or on-prem models where data residency or cost calls for it. Commercial API agreements exclude training on your data, and we verify that per provider before anything ships.
Weeks, not quarters. The audit ends with a working proof-of-concept in two weeks, and a first production feature typically follows within the first several weeks after that — something real you can use and react to, not a slide deck.
Tell us what you're trying to do — an agent, a copilot, a data problem, a product. We'll come back with how we'd approach it, a timeline, and a quote.
◉ studio.com