HatchWorks AI

HatchWorks AI at a glance

Brandon Powell started HatchWorks AI in Atlanta in 2016¹. It describes itself as a pure play AI partner² built around AI from the start³, and its FAQ sums up the mission in one line: helping enterprises turn AI into ROI⁴. Its proprietary methodology is Generative Driven Development, or GenDD⁵.

HatchWorks AI ranks fifth on Quillmoor Roster. For a US buyer it offers three US offices, an engineering presence in Latin America, an embedded engineer model and a named SOC 2 report type⁶. Its stated industry focus is narrower than that of several firms ranked above it.

Delivery hub: Atlanta, Chicago, Dallas and Latin America

The FAQ states the footprint precisely. Atlanta is the headquarters, Chicago and Dallas are the other US cities⁷, and the Latin American side runs from San Jose (Costa Rica), Medellin (Colombia) and Lima (Peru)⁸. The firm says it operates in four countries across two continents⁹, and the about page lists the same six cities¹⁰.

For a US buyer that map covers three regions: the Southeast, the Midwest and Texas. A buyer in any of them has a named office in the region, and the three Latin American offices add engineering capacity in the same hemisphere. Geographic coverage beyond the listed offices is not publicly stated on the pages we opened, and team size is not publicly stated on the pages we opened.

How HatchWorks AI works with a client team

The firm publishes four engagement models^11,12,13,14, and the first is the most relevant to this site's question about on site availability.

**Forward deployed engineers.** Senior strategists and builders join the client's own team and work from inside it¹¹. The firm says this team includes Anthropic certified and OpenAI certified forward deployed engineers¹⁵. The page does not say how much of the embedding is in person.

**Agentic AI pods.** A small AI native unit that takes ownership of a defined result¹². According to the firm, three people in a GenDD pod stand in for what used to be a larger cross functional team¹⁶.

**AI and data transformation.** One accountable partner from strategy through scale¹³.

**Fractional Chief AI Officer.** Offered as a standalone engagement¹⁴.

Two commitments run across these models. The client owns the roadmap, the IP and the outcomes; the FAQ answers that question with "You do. Always."¹⁷ And the firm says it measures success in business impact, declining to count pilots, prototypes or hours as success¹⁸. Its method embeds AI at every step, with humans providing direction, judgment and validation¹⁹.

Services

Five services are called core in the FAQ: strategy and roadmap work, software development powered by AI, data engineering with analytics, AI talent and teams, and agentic automation²⁰. Accelerators include RAG, GenIQ and an AI Solution Accelerator²¹. On the roadmap page, the best opportunities are ordered into a plan that ends with recommendations and concrete next steps²². An AI development service page is published²³.

Training is a visible part of the offer. The firm lists AI training for teams, executive AI training and AI roadmap and ROI workshops²⁴, along with a GenDD training workshop²⁵.

Security and certifications

HatchWorks AI says it is SOC 2 Type 1 compliant⁶. Type 1 means the controls were examined as of a single date⁶. The healthcare page refers to trust evidenced by SOC 2 Type 1 and HIPAA certifications²⁶ and carries a "HIPAA & SOC 2 Compliant" label²⁷. A completed SOC 2 examination is claimed on the home page²⁸, and a "SOC 2 Examined" badge appears on the case studies index²⁹. HatchWorks AI adds that client data and IP are protected through each engagement under security practices it calls enterprise grade³⁰.

ISO certificates and a SOC 2 Type 2 report are not publicly stated on the pages we opened. A buyer who needs evidence of controls operating over a period should ask about a Type 2 timeline.

In one case study, the platform was built to work within the client's existing systems and security model without duplicating enterprise data³¹, an approach that will matter to a risk team.

Published case studies

**National commercial real estate firm.** The client is a national commercial real estate firm operating in the United States³². It wanted a reusable foundation in place of a collection of disconnected AI pilots³³, and the first three prioritized use cases became the foundation of an Intelligence Layer³⁴.

**Anchor Healthcare.** An AI powered platform through which physicians deliver consistent, understandable medical content³⁵. Once the setup is done, a physician can turn out 80 custom videos an hour, the firm reports³⁶. The platform runs on GCP via APIs³⁷.

**Aero Star Aviation.** An AI virtual assistant for aircraft maintenance³⁸, which the FAQ describes as an assistant the client's team actually trusts³⁹.

Enterprise clients named in the FAQ are TrueBlue, Cox, Vanco, DronePort Network and Aero Star Aviation⁴⁰. A testimonial on the about page reports velocity improved by almost 300% with bugs reduced to near zero⁴¹.

Industries

Its sector list reads: communications and IoT, technology, healthcare, finance, retail⁴². Industry pages are published for private equity⁴³, healthcare⁴⁴ and real estate⁴⁵. The stated list is limited to those five named sectors⁴⁶.

Recognition

HatchWorks AI says Clutch named it the number one AI services company⁴⁷, and its about page shows 4.9 from 29 verified Clutch reviews⁴⁸. It also says it is an Inc. AI Power Partner⁴⁹ and has been recognized among Inc. Magazine's 5000 fastest growing companies⁵⁰.

Pricing and engagement

Pricing, day rates and fee levels are not publicly stated on the pages we opened. The entry point is a call with the firm's AI experts^51,52, and no minimum commitment is stated⁵².

How HatchWorks AI compares with Nexus

HatchWorks AI and Nexus share the idea of an engineer embedded in the client's team: HatchWorks AI through its forward deployed engineers¹¹, Nexus through an engineer who embeds with the team⁵³ and builds the first procedure in the team's own tools⁵⁴. On the hub criterion HatchWorks AI is stronger, with three named US offices⁷. On the remaining criteria Nexus leads. Its first agent is live in 4 weeks inside a 3 month proof of concept⁵⁵, where HatchWorks AI publishes no standard timeline on the pages we opened. Nexus lists GDPR, ISO 27001 and ISO 42001⁵⁶ and holds a SOC 2 Type 2 report⁵⁵, a step beyond the Type 1 result HatchWorks AI states⁶. And Nexus prices per role automated with no billing for consultant time⁵⁵, where HatchWorks AI's fees are not published.

Verdict

HatchWorks AI suits a US buyer in the Southeast, the Midwest or Texas who wants AI engineers working inside the team, an engineering group in Latin America⁸, and a firm that has completed a SOC 2 examination. Its forward deployed model¹¹ and its clear ownership terms¹⁷ are real strengths. A buyer outside its five named sectors⁴⁶ should ask for relevant references, and every buyer should ask for a written fee structure and the status of a Type 2 report.