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TechFabric

AI development · Raleigh, NC

AI development for Raleigh companies

The Research Triangle is pharmaceutical and biotech manufacturing around the research park, enterprise software in Cary and Durham, and three research universities feeding both, with a clinical research industry that grew up between them.

Founded

2017, and still independent

Bench

115+ people, 80 Databricks-certified

Experience

Fifteen years average, per engineer

Serving

Raleigh, Durham, Chapel Hill, Cary

Life sciences buys AI under validation. A model that helps with a submission, a trial or a batch record has to be reproducible, and the retrieval behind it has to cite the document it drew from. We build the evaluation harness first, because a validated system is one whose behaviour can be shown, not asserted.

DatabricksTemporalAzure

TechFabric is a Databricks partner with an award-winning Databricks engineering team, 80 of them Databricks-certified, and a Temporal partner. Where a system reaches past the workspace we build on Azure, AWS and Google Cloud.

What ai development covers

Agents that hold state

A task that runs for three days, calls six systems and waits twice on a person cannot live in a request handler. We build agents on a durable runtime, so a deploy in the middle of a run does not lose the run, and a retry does not send the same email twice.

Retrieval that cites what it used

An answer nobody can trace is an answer nobody can defend. Retrieval is built so every response carries the documents behind it.

Evaluation, before and after

Without a score, every prompt change is a matter of opinion. We put deterministic scorers and model-based judges in front of the thing so a change ships with a number attached rather than with a feeling.

Human approval where it belongs

Some actions should stop and wait for a person. That gate is part of the system rather than a policy document, so an agent that wants to issue a refund pauses, the approval is recorded, and the run picks up where it left off.

Cost you can see

Model spend, retrieval infrastructure and the review time a system still needs are the numbers that decide whether it stays live after the first quarter. They get instrumented at build time, not discovered on an invoice.

Governed data access

An agent reads through the same grants a person would. On Databricks that is Unity Catalog, so a model that tries to reach a table it has no grant for fails the way any principal fails, rather than because the prompt asked it nicely.

Validation is a property of the system

21 CFR Part 11 and GxP want electronic records that are attributable, contemporaneous and unalterable, and a computerised system whose behaviour has been shown. A platform that writes the audit event in the same transaction as the change satisfies the first; an evaluation harness with kept results satisfies the second.

None of that is unusual for Raleigh, and none of it is a reason to build slowly. It is a reason to decide where the evidence comes from before the first handler is written, because the alternative is reconstructing it later from logs that were not designed to answer the question.

How an engagement runs

  1. 01

    Two weeks, fixed fee

    An AI Readiness Assessment reads what you already run, names the use cases that will survive your data and your permissions, and puts a number on what each will cost to operate. It ends in a written document that is yours either way.

  2. 02

    One system, named

    We pick the first thing to build with you and say what done looks like before starting. A first system that reaches production beats three that reach a demo.

  3. 03

    Build it with your team

    Your engineers are in the repository with ours from the first week. The pattern has to be one they can extend after we leave, which does not happen if they meet it at handover.

  4. 04

    Run it, then hand it over

    We stay on the pager while it settles, because the design decisions look different when the person making them is the one being woken. Handover happens when it is boring, not when the invoice is due.

Talk to an engineer in Raleigh

Two weeks, fixed fee, and a written plan whether or not you build it with us.

Headquarters

1530 E Williams Field Rd, Ste 201
Gilbert, AZ 85295

Phone

+1 (480) 681-6806

Also

Amsterdam, Dnipro, Hyderabad

Working hours

Raleigh business hours, most days

FAQ

AI development in Raleigh: common questions

Do you work with Raleigh companies?

Yes, and with companies across the United States. Arizona does not observe daylight saving, so we are two hours behind you from November to March and three hours behind from March to November. That leaves most of your afternoon overlapping our morning, which is usually enough.

Do you have an office in Raleigh?

The office is in Gilbert, Arizona, with teams in Amsterdam, Dnipro and Hyderabad. Delivery is remote or hybrid, and we travel for discovery, workshops and the opening weeks of a build.

Can your pipelines and AI systems be validated under GxP?

That is how we build them. The audit trail is produced by the platform rather than reconstructed, the pipeline replays to an exact result, and every change to a model or a prompt carries the evaluation that scored it. Your quality team owns validation and we produce the evidence in the form they need.

What kind of AI development do you do?

Agents that carry state across a long task, retrieval that cites what it used, workflow automation that survives a restart, and the evaluation that tells you whether any of it got better. The common thread is that it has to run unattended and be explainable afterwards, which is a different problem from getting a good answer once.

How does an AI engagement start?

Usually with something short and fixed so the cost is known before you commit. The AI Readiness Assessment runs two weeks for a fixed fee and ends with a written deliverable that is yours whether or not you continue.