AI engineering & implementation
Retrieval, evaluation, and integration built to production standards. We connect models to your data and your systems, with the deterministic checks and guardrails regulated work requires.
Applied AI, delivered as finished work
AI that does the work, not just the demo.
Amia.ai designs, builds, and ships AI systems for healthcare, life sciences, and enterprise teams. Software does the heavy lifting; our engineers and domain experts make sure what you receive is something you can stand behind.
What we do
We turn a business problem into a working AI system, and hand you the result.
Most AI projects stall between a promising prototype and something a team can actually rely on. Amia.ai works across that gap: we scope the problem, build the system, keep a human accountable for the output, and deliver work that holds up in production and in front of an auditor.
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Teams with a real workload, not a science project
Biotech, pharma, and CRO teams in regulated work, and enterprise teams that want AI applied to a concrete process rather than added as a buzzword.
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Software drafts. Experts decide.
Deterministic checks are kept separate from AI reasoning, and an accountable person reviews the output before it reaches you. You get work you can defend, not raw model output.
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A deliverable, not another tool to learn
A defined scope and a fixed fee, agreed before work starts. You receive the finished system or document, with the strategy to use it included.
Services
What we build.
A focused set of capabilities, each grounded in work we actually do. If a problem is not a good fit for AI, we will tell you.
AI agents & workflow automation
Agents that carry out multi-step work end to end: gathering inputs, drafting outputs, and routing results for human review, so routine process work stops consuming senior time.
Custom AI applications & products
Purpose-built applications for a specific job, deployed in your cloud or on premise by arrangement. MedNova, our regulatory analysis product, is one example shipped.
AI-powered process improvement
We find the steps in a workflow where AI removes real effort, measure whether it actually helps, and rebuild the process around the result rather than bolting a chatbot onto the side.
Data & retrieval foundations
The unglamorous groundwork that makes AI trustworthy: organizing your documents and data so that every answer can be traced back to a named source.
Delivery
Consulting, implementation & delivery
Strategy that ends in something shipped. We advise on where AI fits, then build and deliver it, with direction on what to do next included in the engagement.
How we work
Software first. People before anything reaches you.
The same model runs through every engagement, whether it is a custom product or a single automated workflow.
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Scope
We agree the problem, the inputs, the deliverable, and the review cycles included, in writing, before any work starts.
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Build
We build the system: retrieval, checks, and AI reasoning, with each output traceable to the source behind it.
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Review
A domain expert confirms, edits, or removes the output. Nothing is delivered on software output alone.
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Deliver
You receive the finished work, our recommendations, and a walkthrough so your team can act on it.
The software does
- Deterministic rule checks, kept separate from AI-assisted reasoning
- Retrieval of evidence from your documents and public sources
- First-draft outputs with a source attached to each one
People do
- Decide which outputs are right and how they should read
- Own the final deliverable you receive
- Answer your questions and walk your team through it
We do not
- Ship raw model output as a finished deliverable
- Promise AI where a simpler tool would serve you better
- Invent results, sources, or guarantees we cannot stand behind
Selected work
MedNova: a product we built and ship.
The clearest example of how Amia.ai works is a product of our own. MedNova applies the software-first, expert-reviewed model to regulatory submissions for pharma and biotech teams.
Product · MedNova
Regulatory analysis you can act on, not a score to interpret.
MedNova reviews a submission against the applicable regulations and the team's own evidence, and returns findings that each state the gap, its basis, what was and was not located, and what to do next. Software drafts and checks; an expert reviews every finding before it reaches the client.
Visit MedNova ↗
Why Amia.ai
Why teams bring us the work.
Accountable by design
An accountable person reviews and owns every deliverable. The software drafts and checks; people decide. You are never handed unreviewed model output.
Traceable to the source
Material outputs are source-linked, so your team and your auditors can follow each one back to where it came from. We write "not located," not "does not exist."
A fixed scope and fee
Each engagement is a defined scope for a fixed fee, quoted before work begins. No seats to buy, no open-ended hours, no software for your team to operate.
Deployed on your terms
Data handling is configured to your enterprise and GxP controls. Deployment in your cloud (AWS, Azure, or GCP) or on premise is available by arrangement.
Questions
Before you reach out.
For a delivered engagement, no. You give us the inputs in scope and receive a finished deliverable. When we build a custom product for you to run, we hand it over with documentation and a walkthrough.
A domain expert confirms, edits, or removes the output before delivery. Software output alone is never the deliverable.
Each engagement is a defined scope for a fixed fee, quoted on a scoping call. There is no license to buy and no per-seat or per-hour meter.
Data handling is configured to your enterprise and GxP controls. Deployment in your own cloud (AWS, Azure, or GCP) or on premise is available by arrangement.
Have a problem worth solving with AI?
Tell us what you are trying to build or automate. We will tell you honestly whether AI is the right tool, and how we would approach it.