Question 1

What AI services does Petronella Technology Group offer?

Accepted Answer

Seven service lines under one engagement umbrella: AI prototyping, custom AI development, AI integration consulting, AI automation consulting, AI agent and chatbot development, private AI infrastructure, and AI consulting and training enablement. Most engagements start with one service and expand into adjacent ones once the first deliverable proves the regulatory and integration fit.

Question 2

How do we know which AI service we need?

Accepted Answer

If you have a use case but you are not sure if it works at all - start with prototyping. If you have a chosen tool that needs to live inside your existing systems - start with integration consulting. If you have a workflow drowning your operations team - start with automation consulting. If your AI needs to live inside HIPAA, CMMC, or contract-clause boundaries - start with private AI. The discovery call is exactly this conversation.

Question 3

Do you build custom AI or integrate existing AI tools?

Accepted Answer

Both, depending on what the use case actually needs. Most regulated buyers end up with a hybrid stack - off-the-shelf SaaS for commodity tasks (meeting summaries, draft assistance, public-content chatbots) and custom-built capability for the workloads where data class, integration depth, latency, cost, or audit posture rules the SaaS path out.

Question 4

Can we hire your AI engineers instead of building an in-house team?

Accepted Answer

Effectively yes - that is what an AI services engagement is. You get a team (model engineer, data engineer, security engineer, DevOps engineer, product engineer) on day one rather than recruiting one engineer over six to nine months. You get private AI infrastructure already racked and audited rather than paying for the buildout. And you get regulated-vertical experience built in rather than hiring someone who learns HIPAA or CMMC on your engagement.

Question 5

How does AI integration consulting work?

Accepted Answer

Integration consulting designs and implements the connections between AI capability and the systems already in production - data pipelines, APIs and event streams, identity propagation, audit logging, and the evaluation framework that gates production releases. The engagement starts with an architecture session, the build phase wires the connections, the validation phase exercises the integration under realistic load, and the handoff phase produces the documentation and operations runbook for your internal team.

Question 6

What does an AI consulting engagement cost?

Accepted Answer

Engagements are scoped from a discovery call. Cost depends on data state, integration complexity, regulatory frame, infrastructure path, and the specific service line. Petronella does not publish a fixed price for custom engagements because the cost surfaces and the risk surfaces are different for every regulated buyer. We do publish productized starter packages on our consumer-facing surfaces for buyers who want a fixed-scope entry point.

Question 7

Do you handle CMMC L1, L2, and L3 environments?

Accepted Answer

Yes, all three. CMMC L1 prototypes and production workloads run inside basic safeguards aligned to FAR 52.204-21. CMMC L2 work runs inside an enclave aligned to NIST SP 800-171. CMMC L3 work operates against the higher bar set by NIST SP 800-172. Petronella is CMMC-AB Registered Provider Organization #1449. The whole team is CMMC-RP. We sign a CMMC-aligned engagement letter before any controlled unclassified information enters the project boundary.

Question 8

Can you work with HIPAA-regulated data?

Accepted Answer

Yes. We sign a Business Associate Agreement before any PHI changes hands. HIPAA-covered AI workloads run inside our private cluster in Raleigh, NC, with audit logging, scoped access, encryption in transit and at rest, and review by our compliance team. We do not run HIPAA-covered workloads on public AI APIs at any stage of the engagement.

Question 9

What is the difference between AI prototyping and AI services?

Accepted Answer

AI prototyping is one of seven services we deliver. It is the right entry lane when the question is should we even fund this initiative and you need production-class evidence before committing. The other six services come into play once prototyping has surfaced the right answer or once the buyer has already proved the use case and is ready to ship into production.

Question 10

Do you support generative AI and predictive AI?

Accepted Answer

Both. Generative AI (large language models, retrieval-augmented generation, multi-step agents, voice and chat interfaces) is the dominant share of new engagements because foundation models made the cost-to-prototype much lower. Predictive AI (classification, regression, ranking, anomaly detection, forecasting) still has the strongest fit for high-volume structured-data workloads where a smaller specialist model outperforms a generalist foundation model on cost and latency.

Question 11

Where is your private AI cluster?

Accepted Answer

Raleigh, North Carolina. Hardware sourced through the NVIDIA Elite Partner Channel. Built on the NVIDIA reference architecture for enterprise inference. We can also operate dedicated hardware that the client owns at the client site or in a colocation facility the client specifies, where data residency or contract-clause requirements dictate. Petronella headquarters is at 5540 Centerview Dr., Suite 200, Raleigh, NC 27606.

Question 12

How do you compare to other AI services firms?

Accepted Answer

Three honest differences. First, we are a regulated-vertical practice - HIPAA, CMMC L1 / L2 / L3, NIST 800-171 / 800-172, GLBA, ITAR, attorney-client privilege, contract-clause data residency are first-class constraints, not exceptions. Second, we operate the private AI infrastructure ourselves rather than reselling someone else cloud capacity. Third, we run the full lifecycle in-house rather than handing off between strategy, build, and operations vendors.

Question 13

Do you work with clients outside North Carolina?

Accepted Answer

Yes. While our office and private AI cluster are in Raleigh, we serve clients throughout the Research Triangle and across North Carolina, and we engage with regulated organizations nationally - particularly in healthcare, defense, finance, and engineering. The discovery call works the same way regardless of geography; site visits to the Raleigh facility are available for buyers who want to see the infrastructure before committing.

Question 14

What size organization do you serve?

Accepted Answer

From regulated small businesses (a five-person medical practice, a fifteen-person engineering firm) to mid-market enterprises (five hundred employees, multi-state operations). The bottom of our range is the regulated buyer whose AI need is real but whose internal team is not big enough to scope and ship the build alone. The top of our range is the mid-market organization whose AI ambition outruns their internal AI staffing plan.

Cable	0.5m QSFP112 400G passive direct-attach copper (DAC)
Approved spec	Amphenol NJAAKK0006 / Luxshare LMTQF022-SD-R (NVIDIA Spark Stacking docs)
Fits	Both QSFP112 ports on the ASUS Ascent GX10 ConnectX-7 NIC
For two units	One cable
For a three-node ring	Three cables (switchless, each box uses both ports)
Price	$159, free US shipping (in stock)

ASUS Ascent GX10 Cluster Cable: 0.5m QSFP112 400G DAC

Clustering your ASUS Ascent GX10 units: how many cables and when you need a switch

ASUS Ascent GX10 cluster cable FAQ

ASUS Ascent GX10 Cluster Cable: 0.5m QSFP112 400G DAC

Clustering your ASUS Ascent GX10 units: how many cables and when you need a switch

ASUS Ascent GX10 cluster cable FAQ

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