A list of 64 firms is not a shortlist. Most buyers open ten tabs, skim ten homepages that say the same thing, and close them. A side-by-side comparison works better because it forces every firm into the same few fields.
This guide shows how to use the comparison table on this site, what each column can and cannot tell you, and what to check outside it.
What the comparison table covers
Every row uses the same published fields: headquarters, company size, regions served, and specialty tags. That is deliberate. These fields come from each company's own site, LinkedIn and press coverage, so you are comparing like with like, not marketing copy.
The table does not cover pricing, availability or quality of delivery. No directory can tell you those from public pages. Treat the table as a way to cut 64 names down to three, then do the real diligence on the three.
Step 1: Filter by the one constraint you cannot bend
Pick the constraint that would end the project if it were wrong. For most buyers it is one of these:
- Regulated data. Start with healthcare AI or fintech AI. Firms like ITRex Group list healthcare among their project areas, and Neurons Lab focuses on agentic AI for financial institutions. SiriusAI in Jersey City works only with financial services. Confirm any claim directly.
- Time zone or data residency. Start with a region page: Europe, North America, Latin America, the Balkans, Asia or Remote/Global. If you need a specific city, the city pages cover New York, Chicago and Singapore; see AI consulting firms by city for how to read them.
- Scale of the program. Start with large firms for multi-country programs, or boutique studios if you want senior engineers on the work.
Step 2: Read the size column as a staffing signal
Size tells you who will probably answer your emails.
- Boutique firms are small studios. Winder AI in Harrogate is a boutique MLOps and AI consultancy. BlueLabel in New York and thirteen23 in Austin are boutique too. Expect speed and a narrow focus, and ask about single-person dependency.
- Mid-size firms such as RTS Labs in Richmond or HatchWorks AI in Atlanta have more bench for a longer build. See all mid-size firms.
- Large firms such as EPAM Systems and Publicis Sapient run AI practices inside much bigger organizations. The pitch team and the delivery team are often different people.
Step 3: Read the specialty tags in combination
One tag says little. Two or three tags together show how a firm works. The full tag set is: AI strategy, AI integration, AI product development, enterprise AI, generative AI consulting, data engineering, chatbots & agents, and those below.
- AI strategy plus AI integration suggests the firm can plan and build. Strategy alone may mean a handoff to someone else. TocuLabs in Panama City lists both, plus data engineering.
- MLOps plus machine learning consulting suggests a firm that runs models after launch, not only trains them. Lighthouse AI in Varna lists this mix.
- LLM integration plus AI agent integration points to agents that act inside your tools. Centric Consulting pairs agent development with AI governance. MICHI IA in Bogotá builds agents and chatbots for businesses in Colombia and Chile.
Step 4: Check where the team actually sits
Headquarters is not the delivery team. HatchWorks AI is based in Atlanta with delivery teams in the US and Latin America. Braynex is in Prishtina, Kosovo, with a Swiss entity in Zug. LA AI is in São Paulo, not Los Angeles. MeteorIT is in Belgrade and lists both Balkans and Remote/Global regions. A name or an address can mislead, so read the city and region fields together.
Step 5: Open the per-firm comparison pages
Each listed firm also has its own page comparing it with the featured partner, asaasin.ai. Disclosure: asaasin.ai publishes this directory, so read these as a labelled comparison of published fields, not a neutral ranking.
10Pearls, 38Shift, Accedia, ADC Consulting, Addepto, AI Superior, Bluelabel, Boston AI Partners, Braynex, Bridgeforce, Centric Consulting, Chi Software, CitiusTech, Crux Digits, Door3, Duotach, Elevate Ventures, EPAM Systems, GLADiiUM, Grid Dynamics, HatchWorks AI, HealthTech Resources, Hexaview, i12ai, InData Labs, Intellectyx AI, ITRex Group, Kanerika, LA AI, Larion, LeewayHertz, Lighthouse AI, Logiciel, Master of Code Global, Meteorit, Michi IA, Miea Health, Miquido, NashTech, Neurons Lab, Numoru, Ocampor, PH AI Works, Publicis Sapient, Quantiphi, Redgate Associates, Roweb, RTS Labs, Semantix, Shift Engineering, Sigmoid, Sirius AI, Slalom Build, thirteen23, Thoughtworks, Toculabs, Tredence, Vector Labs, Velvetech, Webpuppies, Winder.AI, Xicom Technologies, Zynapse.
The same set is grouped by firm size in AI implementation firms compared side by side.
Step 6: Spend your calls on the gaps
The table cannot answer these. Ask all three firms the same questions so the answers line up:
- Which engineers would work on my project, and what did they ship recently?
- What happened the last time a model you deployed performed worse than expected?
- What do I own at the end: code, prompts, evaluation data?
For the full question list, read how to choose an AI implementation company. If you are still unsure whether you need strategy or a build partner, read AI consulting company vs. implementation partner first. To see firms grouped by specialty, read AI consulting companies by specialty.
A note on disclosure: this directory is published by asaasin.ai, an AI engineering shop that appears as the featured partner. It is labelled and pinned at the top. Every other listing is unpaid and alphabetical. Compare asaasin.ai against the rest of the table as you would any other candidate.
Shortlist checklist
- Name the one constraint you cannot bend, and filter by it first.
- Compare no more than three firms in the comparison table.
- Read size as a staffing signal, not a quality score.
- Read specialty tags in pairs, not alone.
- Confirm where the delivery team sits, not only the headquarters.
- Ask all three firms the same three questions.
- Ask for a reference client whose problem looked like yours.