AI consulting and development · Raleigh, NC
AI consulting and development for Raleigh companies
Your AI pilot works, and the quality group still won't let it into production until someone can show what the agent did and why. Our senior engineers build the evaluation harness first, then agents and retrieval that cite their source and replay under review. Drug makers and contract research organisations in Research Triangle Park set that pattern, and a software company in Cary or a utility needs the same auditable system.
Founded
2017, and still independent
Bench
115+ engineers, 80 Databricks-certified
Experience
Fifteen years average, per engineer
Serving
Raleigh, Durham, Chapel Hill, Cary
Pharmaceutical and biotech manufacturing around the research park, enterprise software in Cary and Durham, three research universities feeding both, and a clinical research industry between them. If you're in life sciences here, you buy AI under validation, and the system has to be one whose behaviour can be shown.
AzureTechFabric 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 consulting and 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.
AI consulting in Raleigh
AI consulting in the Research Triangle starts with validation. For the drug makers and clinical research companies in and around Research Triangle Park, we design the evaluation harness and the evidence a reviewer needs first, then recommend the agents and retrieval that can be validated against it.
Validation is a property of the system
Around Raleigh and Research Triangle Park, software sits inside regulated work, from batch records at the biologics plants in Holly Springs and Clayton to trial data at contract research organisations such as IQVIA in Durham. 21 CFR Part 11 asks for secure, time-stamped audit trails on those electronic records and signatures linked to the records they sign, and GxP wants any computerised system that touches them shown to work as intended before it's used.
Most teams treat validation as paperwork that follows the build, and pay for it twice when the quality group writes test scripts against a system never designed to produce evidence. We'd rather the platform produce it, with each audit event recorded by the code that makes the change, and an AI agent with no kept evaluation results shouldn't touch a GxP process.
The first two weeks go on intended use and risk, the order GAMP 5 starts from. We write down what the system is for, which functions touch a GxP record and how each one will be tested, then build the evaluation harness before the agent or pipeline it scores. Your quality group signs the plan before any code it covers is written.
Clients we have done this for
An attachment in an inbox can't show where it came from, which matters the moment an inspector asks for a document's history. SmartCert moved certificates and quality documents out of email into a traceable system shared by manufacturers, distributors and their customers.
Supply chain
SmartCert
Aerospace distributors were scrapping good parts because the certificates proving what they were got lost in email attachments. With Aramid, our senior engineers built SmartCert on Azure and took it into production. A QR code on each package opens the documents for that exact shipment, and links to Epicor Prophet 21 and Dynamics 365 Business Central mean nobody retypes a certificate. Since launch, none have been lost.
Also for
How an engagement runs
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.
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.
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.
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.
Two weeks, fixed fee, and a written plan whether or not you build it with us.
Tell an engineer what you want to build
A senior engineer reads it and replies within one business day, usually with the questions that decide the first two weeks.
Around Raleigh
Demo nights and a downtown AI conference
AI Tinkerers Raleigh meets roughly once a quarter, and its rule is working code on screen and no pitch decks; some sessions have been held in NC State's Hunt Library on Centennial Campus. All Things Open gives AI agents and AI for DevSecOps their own sessions at the Raleigh Convention Center. Its organisers then move All Things AI from Durham to downtown Raleigh in April 2027, with an agent hackathon the Sunday before.
Getting an agent to work in a demo is what those rooms are good at. For a life sciences company in RTP, the harder part is showing a reviewer what the agent did and why, and that's a different discipline. It's built from a fixed test set, kept results for every model or prompt change, and a record of who approved each one. We build that part, and it's scored before anything reaches production.
The Raleigh-Cary and Durham-Chapel Hill metro area. North Carolina: Chatham, Durham, Franklin, Johnston, Orange, Person and Wake counties.
Lighter shape: the city itself. Dot: downtown. County boundaries from the US Census Bureau, 2023.
Meetup · Roughly quarterly, weekday evenings
AI Tinkerers Raleigh
Quarterly, sometimes in NC State's Hunt Library, with demos on agent frameworks a life sciences team can compare before choosing one.
AI Tinkerers, Raleigh chapter. Raleigh, venues vary, sometimes NC State's Hunt Library.
Conference · 19 to 21 April 2027, with a hackathon the Sunday before
All Things AI 2027
The screened executive summit is the part for a buyer, while the agent hackathon the day before shows what a team can build in a day.
All Things Open and the AIE Network. Atlantic Union Bank Convention Center, 500 S Salisbury St.
Meetup · Monthly, usually the first Saturday morning
Databricks for Agentic AI @Raleigh (Databricks & Coffee)
Small enough on a Saturday morning in the park to ask someone how they govern an agent's access to regulated data.
Volunteer organisers. BoxYard RTP, 900 Park Offices Dr, Research Triangle Park.
University · Ongoing degree programme
Master of Science in Analytics, Institute for Advanced Analytics, NC State University
Every cohort works a practicum on sponsor data, a cheap way to test whether your trial or batch data supports a model before funding a build.
Institute for Advanced Analytics, NC State University. NC State University, Raleigh.
University · Ongoing degree programme
Master in Interdisciplinary Data Science (MIDS), Duke University
Capstones with outside partners and training in distributed systems make Duke's programme a source of engineers who can take an AI project past the notebook.
Duke University. Duke University, Durham.
More in Raleigh (1)
- All Things Open 2026
A large annual open source conference, now in its 14th year, with a workshop day then a main day. 2026 topics include AI agents, AI for DevSecOps, accessibility and community leadership.
19 to 20 October 2026. Raleigh Convention Center, Downtown Raleigh.
Each listing was checked on its organiser's own page on 12 October 2026. Dates and venues move, so the link is the source.
FAQ
AI consulting and 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.
Also in Raleigh
What else we build for Raleigh companies.
Software development in Raleigh
Projects stall waiting for engineers you can't hire fast enough, and whatever ships has to show how a number was reached.
Databricks consulting in Raleigh
LIMS, MES and CRO systems that never agreed leave the data team tracing results by hand while auditors keep asking about governance.
AI consulting and development elsewhere
The same work, in other metros. The full list is here.
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