AI Development Company in Boston
The best AI Development Company in Boston, at the best available price.
Most of what gets sold here as AI development is a team of five with one person who has shipped, and a bill that reflects the other four. This is the opposite arrangement: the engineer who scopes it is the engineer who builds it, the price is fixed before anything starts, and you pay nothing until a checkpoint is delivered and you accept it.
Boston's technology economy is built around research: biotech and life sciences in Kendall Square, robotics, and the universities that feed both. Companies here often hold sensitive research or patient data and have scientists, not software engineers, in charge of the early product.
AI work in Boston is usually retrieval and extraction over specialised documents: papers, protocols and lab records. Getting citations and accuracy right matters more than response speed.
What you get
- One senior engineer end to end: the person on your first call architects it, writes it and hands it over
- LLM features, retrieval over your own documents, agents that call real tools, and voice where it earns its place
- Deployed in your own cloud account in a regional data centre, or on your own hardware where residency demands it
- Fixed price and fixed scope agreed in writing before work starts, invoiced per accepted checkpoint
- Code and infrastructure in your repository and your accounts, written to make us replaceable on purpose
Nothing payable upfront. You hold every dollar until a checkpoint is delivered and accepted, and thirty days of defect correction is included. Final scope and price are settled on a call before any work begins.
Invoiced in USD, payable by Wise or bank transfer.
Request a callback
You speak to the engineer who does the work. No sales rep, no deck.
Who builds here
On-Premise LLM Deployment
Boston life sciences and health companies hold research and patient data that rarely can leave their own environment, which makes a private model the usual starting point for any AI work.
What Boston companies build with us
Get it built at $0.
That is not a discount. It is when you pay. The work is split into checkpoints with acceptance criteria written down before anything starts, and each checkpoint is invoiced only after you have seen it and accepted it. No deposit.
- $0 to start
- You hold every dollar until a checkpoint is delivered and you accept it. No approval, no invoice.
- Fixed cost, unlimited features
- Or hire the team outright: one fixed monthly cost, unlimited feature development, any stack.
- The engineer takes your call
- The person on your first call is the one who architects and writes it. No account managers, no bench time.
A US agency quotes $50,000 to $150,000 for the same build and asks for 40 to 50% of it before a line is written. Account managers, project managers, sales commission and bench time. None of it appears in your product.
Three stages, nothing hidden.
Twenty-minute call
You talk to the engineer who will build it. We scope the problem, and if this is the wrong fit for you, you get told so on that call rather than three weeks into a proposal.
Fixed proposal in 48 hours
Fixed price, fixed timeline, defined deliverables, in writing. No hourly billing, no open-ended scope, and no change-request business model.
Checkpoints until it ships
Working software at each checkpoint, with acceptance criteria agreed before that checkpoint starts and an invoice only after you accept it. Direct access throughout, not a ticket queue.
What actually applies here.
Regulation and data
Massachusetts has one of the oldest data security regulations in the country, 201 CMR 17.00, which requires any business holding Massachusetts residents' personal information to maintain a written information security program, including encryption of personal data sent over public networks and stored on laptops. Health data adds HIPAA, and clinical research adds FDA expectations around data integrity and validation for software used in regulated work. Hospitals and pharma partners will usually ask about all three before a pilot.
Contracting and payment
You contract with an individual consultant based in India rather than a US entity. Invoices are issued in USD and paid by Wise or bank transfer, with no payroll and no benefits load on your side. Whatever documentation your finance team or counsel needs from an overseas contractor is provided before work starts.
Working hours
Four or more hours of daily overlap with Eastern time, calls in your morning, and same-day replies on working days.
Can you work with patient or research data?
Yes, with the safeguards your agreements require: data stays in your environment, access is named and limited, work happens on synthetic or de-identified data where possible, and the paperwork your compliance team needs is agreed before work starts.
Do you understand regulated research software?
We build with audit trails, versioned data and documented testing, which is what reviewers look for. Formal validation for a regulated submission is run with your quality team.
Why would we use an overseas engineer rather than a local integrator?
Often you should use both. An integrator holding the prime contract and the local relationship, with a specialist doing the AI and data layer underneath, is a common and sensible structure here. What you should not do is pay integrator rates for engineering that one person is actually doing.
Can the system run entirely inside our own infrastructure?
Yes, and in this region that is frequently the requirement rather than the preference. Model serving on your own hardware or in your own cloud account in a regional data centre, with no outbound calls, up to fully air-gapped.
Who owns the code?
You do, entirely. It ships into your repository on your own cloud accounts, documented so your team or your next hire can carry it without us, and all our access is removed at handover with written confirmation.
AI Product Development
LLM apps, agents, RAG and MCP tooling, architected by the builder of AccioMatrix.