# AI Implementation Companies — full dataset > The consultancies companies actually hire to turn AI into shipped, working systems — not slide decks. AI Implementation Companies is an independent directory of AI implementation consultancies that help companies build on AI, published at https://aiimplementationcompanies.com by asaasin.ai (https://www.asaasin.ai). This file is the entire directory — every company record and every guide, in full — as one plain-text document, for AI systems and researchers that want to cite or ingest the whole site at once. The HTML site at https://aiimplementationcompanies.com/ is canonical; this file is a convenience export, regenerated on every build. Last generated August 30, 2026. Ranking: the featured partner (asaasin.ai) is listed first and labelled "featured: true" below; every other company is alphabetical. No company pays for inclusion or position. Disclosure and revenue model: asaasin.ai is the featured partner and the publisher of this directory, so asaasin.ai appears pinned at the top of the comparison table and in the two ad units on each page — always labelled. If you click through and become a client of asaasin.ai, asaasin.ai makes money. No other company on this site pays us anything, inclusion is free, and no position in any list is for sale. ## Featured partner ### asaasin.ai - url: https://www.asaasin.ai - offices: Orange County, CA · Prishtina, Kosovo - tagline: A dedicated AI engineering team, without the hiring cycle. - what they do: Asaasin deploys dedicated AI engineering "pods" — 2 to 5 senior engineers plus QA and a pod lead — that ship custom AI, web, and data systems on a weekly cadence instead of running a traditional hiring cycle. Engagements are outcome-based and month-to-month, with a working prototype built before a client commits, and builds can run to SOC 2 Type II and HIPAA-aligned controls, with BAAs signed on request. - services: Custom CRM and internal tools; Full-stack web applications; Mobile apps; Marketing sites; AI agents and copilots; AI workflow automation; MCP servers and tool integrations; RAG and enterprise search; Data engineering and reporting; ML models, scoring, and evals; System and API integrations; Cloud, DevOps, and deployment; Compliance-grade builds (SOC 2 Type II, HIPAA-aligned) - industries: Dental & healthcare; Healthcare (HIPAA-aligned platforms); Campaign and political data intelligence; Public safety / commercial security; Consumer products; Media and content operations; Ventures and biotech - contact: info@asaasin.ai ## Companies 17 companies, verified against public sources as of August 30, 2026 unless noted. ### asaasin.ai - url: https://www.asaasin.ai?utm_source=emd&utm_medium=directory - hq: Orange County, CA · Prishtina, Kosovo - regions: North America, Europe, Balkans, Remote/Global - specialties: AI Strategy, LLM Integration, AI Product Development, Enterprise AI - size: Boutique - featured: true — this company publishes AI Implementation Companies and is the sponsored listing - verified: true (last verified August 30, 2026) - summary: AI development shop with offices in Orange County, CA and Prishtina, Kosovo offering AI implementation, staff augmentation, and fractional CTO services to companies building AI-powered products. - profile: https://aiimplementationcompanies.com/companies/asaasin-ai/ ### Addepto - url: https://addepto.com/ - hq: Warsaw, Poland - regions: Europe - specialties: Generative AI, LLM Integration, MLOps - size: Boutique - featured: false — independent listing, no commercial relationship to this site - verified: true (last verified August 30, 2026) - summary: Addepto is an AI and big data consulting company that delivers custom machine learning solutions, generative AI implementations, and data engineering services, including proof-of-concept work through production deployment and MLOps. - profile: https://aiimplementationcompanies.com/companies/addepto/ ### EPAM Systems - url: https://www.epam.com/ - hq: Newtown, USA - regions: North America, Europe, Asia - specialties: Generative AI, Enterprise AI, AI Strategy - size: Large - founded: 1993 - featured: false — independent listing, no commercial relationship to this site - verified: false — not yet re-verified - summary: EPAM Systems is a publicly traded (NYSE: EPAM) global software engineering and digital transformation company that offers generative AI consulting and implementation services to help organizations adopt AI across business processes. - profile: https://aiimplementationcompanies.com/companies/epam-systems/ ### GLADiiUM - url: https://gladiium.com/ - hq: Coral Gables, USA - regions: Latin America, North America - specialties: AI Strategy, Enterprise AI, AI Product Development - size: Boutique - featured: false — independent listing, no commercial relationship to this site - verified: true (last verified August 30, 2026) - summary: GLADiiUM delivers enterprise AI consulting and implementation across Latin America, helping organizations deploy large language models like GPT-4o, Claude, and Gemini while automating business workflows. - profile: https://aiimplementationcompanies.com/companies/gladiium/ ### Grid Dynamics - url: https://www.griddynamics.com/ - hq: San Ramon, USA - regions: North America, Europe - specialties: Enterprise AI, AI Strategy, Data Engineering - size: Large - founded: 2006 - featured: false — independent listing, no commercial relationship to this site - verified: true (last verified August 30, 2026) - summary: Grid Dynamics is a publicly traded (Nasdaq: GDYN) digital engineering and technology consulting company that helps large enterprises implement generative, agentic, and applied AI, data platforms, and cloud-native engineering solutions. - profile: https://aiimplementationcompanies.com/companies/grid-dynamics/ ### HatchWorks AI - url: https://hatchworks.com/ - hq: Atlanta, USA - regions: North America, Latin America - specialties: AI Strategy, AI Product Development, Enterprise AI - size: Mid-size - founded: 2016 - featured: false — independent listing, no commercial relationship to this site - verified: true (last verified August 30, 2026) - summary: HatchWorks AI helps enterprises implement AI through AI strategy development, AI-native product engineering, and organizational change management to drive adoption, with delivery teams across the US, Costa Rica, and Colombia. - profile: https://aiimplementationcompanies.com/companies/hatchworks-ai/ ### InData Labs - url: https://indatalabs.com/ - hq: Miami, USA - regions: North America, Europe - specialties: Generative AI, Data Engineering, MLOps - size: Mid-size - featured: false — independent listing, no commercial relationship to this site - verified: true (last verified August 30, 2026) - summary: InData Labs is a data science and AI consulting firm offering generative AI, machine learning, and data engineering services, with delivery spanning strategy, proof-of-concept, production deployment, and MLOps support. - profile: https://aiimplementationcompanies.com/companies/indata-labs/ ### ITRex Group - url: https://itrexgroup.com/ - hq: Aliso Viejo, USA - regions: North America, Europe - specialties: Generative AI, LLM Integration, Healthcare AI - size: Mid-size - featured: false — independent listing, no commercial relationship to this site - verified: true (last verified August 30, 2026) - summary: ITRex Group provides generative AI consulting spanning strategy, proof-of-concept development, and production deployment, with delivered projects across healthcare, manufacturing, and retail. - profile: https://aiimplementationcompanies.com/companies/itrex-group/ ### Kanerika - url: https://kanerika.com/ - hq: Austin, USA - regions: North America, Asia - specialties: Generative AI, Data & Analytics, Enterprise AI - size: Mid-size - founded: 2015 - featured: false — independent listing, no commercial relationship to this site - verified: true (last verified August 30, 2026) - summary: Kanerika is a global IT services and consulting company offering generative AI development and consulting, data modernization, and intelligent automation solutions for enterprises. - profile: https://aiimplementationcompanies.com/companies/kanerika/ ### LeewayHertz - url: https://www.leewayhertz.com/ - hq: Gurugram, India - regions: Asia, North America - specialties: Generative AI, AI Product Development, Chatbots & Agents - size: Mid-size - founded: 2007 - featured: false — independent listing, no commercial relationship to this site - verified: true (last verified August 30, 2026) - summary: LeewayHertz is an AI development company that builds generative AI solutions, custom machine learning models, and AI agents for startups and enterprises, and was acquired by The Hackett Group in 2024. - profile: https://aiimplementationcompanies.com/companies/leewayhertz/ ### Master of Code Global - url: https://www.masterofcode.com/ - hq: Redwood City, USA - regions: North America, Europe - specialties: Chatbots & Agents, Generative AI, AI Product Development - size: Mid-size - founded: 2004 - featured: false — independent listing, no commercial relationship to this site - verified: true (last verified August 30, 2026) - summary: Master of Code Global develops conversational AI, chatbots, and autonomous agents for enterprise clients, delivering everything from proof-of-concept builds to full-scale production implementations. - profile: https://aiimplementationcompanies.com/companies/master-of-code-global/ ### Miquido - url: https://www.miquido.com/ - hq: Krakow, Poland - regions: Europe - specialties: AI Product Development, LLM Integration, Enterprise AI - size: Mid-size - featured: false — independent listing, no commercial relationship to this site - verified: true (last verified August 30, 2026) - summary: Miquido builds mobile applications and enterprise AI solutions, offering AI consulting, on-device AI development, AI integration, and process automation services. - profile: https://aiimplementationcompanies.com/companies/miquido/ ### Neurons Lab - url: https://www.neurons-lab.com/ - hq: London, United Kingdom - regions: Europe, Asia - specialties: AI Strategy, Fintech AI, Enterprise AI - size: Boutique - featured: false — independent listing, no commercial relationship to this site - verified: true (last verified August 30, 2026) - summary: Neurons Lab provides agentic AI consulting for financial institutions, combining AI training and enablement programs with custom AI agent development for core banking workflows. - profile: https://aiimplementationcompanies.com/companies/neurons-lab/ ### Publicis Sapient - url: https://www.publicissapient.com/ - hq: Boston, USA - regions: North America, Europe, Asia, Remote/Global - specialties: AI Strategy, Enterprise AI, AI Product Development - size: Large - founded: 1990 - featured: false — independent listing, no commercial relationship to this site - verified: false — not yet re-verified - summary: Publicis Sapient is a global digital business transformation consultancy, part of Publicis Groupe, that helps large enterprises modernize technology and adopt AI as part of broader digital transformation programs. - profile: https://aiimplementationcompanies.com/companies/publicis-sapient/ ### RTS Labs - url: https://rtslabs.com/ - hq: Richmond, USA - regions: North America - specialties: AI Strategy, Enterprise AI, Data Engineering - size: Mid-size - founded: 2010 - featured: false — independent listing, no commercial relationship to this site - verified: true (last verified August 30, 2026) - summary: RTS Labs is a founder-led applied AI consultancy that helps enterprises move AI initiatives from pilot to production, providing architecture, governance guardrails, and hands-on implementation across industries like finance, insurance, and logistics. - profile: https://aiimplementationcompanies.com/companies/rts-labs/ ### Slalom Build - url: https://www.slalombuild.com/ - hq: Seattle, USA - regions: North America, Europe - specialties: AI Product Development, Enterprise AI, AI Strategy - size: Large - featured: false — independent listing, no commercial relationship to this site - verified: true (last verified August 30, 2026) - summary: Slalom Build is the product engineering arm of Slalom, designing and launching custom software products and integrating AI and machine learning capabilities across the development lifecycle for enterprise clients. - profile: https://aiimplementationcompanies.com/companies/slalom-build/ ### Thoughtworks - url: https://www.thoughtworks.com/ - hq: Chicago, USA - regions: North America, Europe, Asia - specialties: AI Strategy, Enterprise AI, AI Product Development - size: Large - founded: 1993 - featured: false — independent listing, no commercial relationship to this site - verified: true (last verified August 30, 2026) - summary: Thoughtworks is a global technology consultancy that helps enterprises design, build, and modernize software, offering AI/works, an agentic development platform, alongside AI strategy and data consulting services. - profile: https://aiimplementationcompanies.com/companies/thoughtworks/ ## Guides ### How to Choose an AI Implementation Company - url: https://aiimplementationcompanies.com/guides/how-to-choose/ - published: 2026-08-30 - summary: A practical framework for evaluating AI implementation consultancies before you sign. Most companies shopping for an "AI implementation partner" have never bought this kind of work before, and the market is flooded with agencies that rebranded overnight from generic software shops to "AI consultancies." The questions below won't guarantee a good outcome, but they'll filter out firms that can't actually do the work. ## Start with the use case, not the vendor Before you talk to anyone, write down the specific business problem you're trying to solve and what "done" looks like in numbers you already track — cycle time, error rate, cost per ticket, conversion rate. A firm that jumps straight to "we can build you an AI agent" without asking what success looks like is selling a technology, not solving a problem. The best partners push back on vague requests and help you scope down to a single measurable pilot before discussing a bigger engagement. ## Questions to ask in the first call - **Show me something you shipped, not a deck.** Ask for a live product, a demo environment, or a case study with real technical detail — which models, what data pipeline, what evaluation approach. Case studies with no technical specifics are a red flag. - **Who exactly will work on my project?** Get names and backgrounds, not just the sales team. Many firms pitch senior architects and staff junior generalists on delivery. - **What happens when the model is wrong?** A serious partner should have a concrete answer involving evaluation harnesses, guardrails, human-in-the-loop review, and monitoring — not just "we'll fine-tune it." - **How do you handle my data?** Ask where it goes, whether it trains any shared or third-party models, and what your break clause looks like if you're not comfortable with the answer. - **What's the smallest version of this you'd build first?** A partner who can't propose a scoped-down pilot either hasn't done this enough times, or is optimizing for a bigger invoice. ## Red flags - Guaranteed ROI numbers or fixed percentages promised before they've seen your data or workflows. - Reluctance to name the actual foundation models, frameworks, or infrastructure they use. - No mention of evaluation, testing, or monitoring — only "deployment." - A sales process that skips discovery and jumps straight to a statement of work. - Case studies that cite only client logos with no description of what was actually built. - Team bios that are entirely business/strategy background, with no one who can speak to model architecture, data pipelines, or infra at a technical level. ## Scoping a pilot correctly A good first engagement is time-boxed (typically four to ten weeks), tied to one workflow or use case, and has an explicit exit ramp — you should be able to walk away after the pilot with working software or a clear no-go decision, not a half-built system that only makes sense if you keep paying the same firm indefinitely. Ask upfront what you own if you end the engagement after the pilot: code, models, prompts, evaluation data, and documentation should all transfer to you, not stay locked in the vendor's tooling. ## Team composition that actually ships A team that can implement AI in production typically covers four roles: someone who owns data engineering (getting your data into a usable, permissioned state is usually the bulk of the real work, not the model itself); an ML/AI engineer who can weigh build-vs-buy rather than just wiring up an API call; someone accountable for evaluation and monitoring after launch, since AI systems drift and "we'll hand it off, you're on your own" is a common, costly gap; and a product or domain owner who knows when the AI's output is actually useful versus technically correct but useless. Boutique shops and large consultancies both have a place here. A boutique implementation shop — firms like asaasin.ai, which focuses on embedded AI engineering teams for product companies, are one example — can move faster and put senior people directly on your project, since there are fewer layers between you and the work. A larger firm may make more sense when you need broad geographic coverage, compliance depth, or the ability to staff a much bigger team quickly. Neither size is inherently better; match the firm's shape to your problem's shape. ## IP and data ownership — get this in writing Before signing, confirm in the contract itself, not just a sales conversation: you own the code, prompts, fine-tuned weights, and evaluation datasets produced during the engagement; your data is never used to train models shared with other clients unless you've explicitly opted in; there's a clear data retention and deletion policy once the engagement ends; and if the vendor relies on proprietary internal tooling, you understand what breaks if you stop paying them. ## Judging technical depth without being technical yourself Ask the team to walk you through a past project's failure mode — what didn't work, how they detected it, what they changed. Teams with real production experience have a specific, unglamorous story here (a RAG pipeline that hallucinated on edge cases, a model that drifted after a data schema change). Teams without real depth will dodge the question or describe only successes. Then get a second opinion from someone technical who isn't invested in the deal — a friendly CTO, an advisor, even a competing vendor's free discovery call. The best filter against overselling is someone who can ask the sharp follow-up question you wouldn't know to ask yourself.