Best Machine Learning Development Agencies

Addepto

Warsaw-founded AI and BI consultancy now part of KMS Technology following a December 2025 acquisition.

Founded 2018 | Warsaw, Poland | 51–200 employees | Last updated: July 2026
ml-developmentai-consultingpredictive-analytics

What is Addepto?

Addepto is an AI and data consulting company founded in Warsaw, Poland in 2018 by Edwin Lisowski and Artur Haponik (one source lists 2017), specializing in machine learning, artificial intelligence, and business intelligence solutions. Reported headcount is roughly 55–58 employees across Europe, North America, and Asia. In December 2025, Addepto was acquired by KMS Technology; prospective clients should confirm how the acquisition affects team continuity, existing contracts, and service delivery going forward.

Addepto was founded in 2018 and is headquartered in Warsaw, Poland. The firm employs 51–200 people and works primarily with clients in Financial Services, Retail, Manufacturing sectors. Its primary differentiator is: Boutique AI/BI consultancy that gained additional scale and resources through its December 2025 acquisition by KMS Technology..

Addepto tech stack and services

PythonScikit-learnTensorFlowAWSAzure
Service area Details
Mid-market companies wanting boutique AI/BI consulting now paired with KMS Technology's broader resources Available for Financial Services, Retail, Manufacturing clients
Business intelligence projects that also require a machine learning component Available for Financial Services, Retail, Manufacturing clients
Buyers comfortable evaluating a recently-acquired boutique firm during its integration period Available for Financial Services, Retail, Manufacturing clients

Addepto use cases

Short answer: Addepto is best suited for companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition..

Use case Industries Approach
Mid-market companies wanting boutique AI/BI consulting now paired with KMS Technology's broader resources Financial Services, Retail Python, Scikit-learn
Business intelligence projects that also require a machine learning component Financial Services, Retail Python, Scikit-learn
Buyers comfortable evaluating a recently-acquired boutique firm during its integration period Financial Services, Retail Python, Scikit-learn

Addepto pricing

Short answer: Addepto uses a fixed project and consulting retainer pricing approach. Minimum engagement starts at $20K.

Engagement model Typical range Best for
Fixed project From $20K Well-defined scope
Consulting retainer Monthly rate; not public Ongoing AI engineering
Addepto does not publish a public rate card. Contact them directly via their website to get project-specific pricing.

Addepto pros and cons

Advantages Things to consider
+7 years of focused AI/BI consulting experience prior to the KMS Technology acquisition -Acquired by KMS Technology in December 2025 — buyers should confirm how this affects team continuity, pricing, and existing contracts before signing
+Small team size historically meant direct founder-level access on engagements -Public sources disagree on exact founding year (2017 vs. 2018) and employee count (55 vs. 58)
+Multi-continent presence (Europe, North America, Asia) despite a compact headcount -Post-acquisition integration could change the service delivery model in ways not yet publicly documented
+Acquisition by KMS Technology (Dec 2025) may bring additional delivery resources and stability

Addepto vs alternatives

How Addepto compares to the other top Machine Learning Development agencies.

Company Best for Key difference Rating Compare
Neurons Lab Enterprises in financial services or other regulated sectors... One of the few AI consultancies worldwide holding AWS's Advanced Machine Learning Consulting Competence. 4.8 Full comparison
Tensorway Mid-market companies wanting a single vendor to cover... Full-stack ML delivery — data science, MLOps, and LLM/agentic frameworks (LangChain, LangGraph, AutoGen) — in one team. 4.6 Full comparison
Provectus Mid-market and enterprise buyers who want AI/ML delivery... Combines AI/ML delivery with cloud and big-data engineering as a single integrated systems-integrator practice. 4.5 Full comparison
InData Labs Fintech, healthcare, and SaaS companies wanting a specialist... Dedicated in-house R&D center focused specifically on data science and AI rather than broad software outsourcing. 4.5 Full comparison
AI Superior Small and mid-size companies in the EU that... PhD-founder-led team with an explicit research-and-development service line alongside standard client delivery. 4.3 Full comparison
Data Monsters Companies needing GPU-heavy deep learning work where an... Elite NVIDIA partnership status supporting GPU-optimized deep learning delivery (per company website; independently unverifiable tier). 4.2 Full comparison
ITRex Group Mid-market companies combining AI/ML work with IoT or... Explicit focus on applied AI paired with intelligent-edge and IoT development, not just cloud-based ML. 4.2 Full comparison
Ideas2IT Healthcare, BFSI, and manufacturing enterprises wanting AI capability... Employee-ownership model paired with vertical focus in Healthcare, BFSI, and Manufacturing. 4.1 Full comparison
Quantiphi Enterprises, especially in financial services, needing AI delivery... AI-native firm that reached enterprise scale (2,600+ employees) without pivoting from generalist IT outsourcing. 4.4 Full comparison
Fractal Analytics Large enterprises wanting a publicly-listed, financially transparent AI/analytics... First Indian AI company to complete an IPO (NSE/BSE, February 2026), adding public financial transparency. 4.4 Full comparison
Tredence Retail, CPG, and industrials companies wanting industry-contextualized data... Deep vertical focus applying AI specifically within retail, CPG, and industrials contexts rather than horizontal AI consulting. 4.2 Full comparison
Sigmoid Large enterprises needing a data-engineering-first partner that also... Data-engineering-first delivery model, with ML/AI built directly on pipelines the firm also builds and manages. 4.2 Full comparison
LatentView Analytics Companies wanting analytics and BI delivery with ML... Publicly listed (NSE/BSE since 2021) analytics firm with two decades of operating history. 3.9 Full comparison
Indium Software Companies that already use Indium for QA/testing and... Long-standing QA and testing heritage now paired with proprietary AI accelerators like teX.ai. 3.8 Full comparison
Grid Dynamics Enterprises needing SEC-level financial transparency and public-company compliance... Nasdaq-listed public company (GDYN) with SEC-filed financials, offering procurement transparency few competitors match. 4.1 Full comparison
Persistent Systems Very large enterprises that want AI/ML delivered by... Enterprise-wide scale (24,000+ employees) supporting AI/ML as part of a full IT services portfolio, not a standalone specialty. 3.8 Full comparison
EPAM Systems The largest global enterprises needing AI delivery embedded... Largest headcount on this list (62,000+) with NYSE-listed financial transparency and a proprietary LLM orchestration platform (EPAM DIAL). 3.8 Full comparison
SoftServe Enterprises wanting a large, established engineering partner with... 32 years of continuous operation spanning both a US public-market presence and deep Ukrainian engineering roots. 4.0 Full comparison
N-iX Mid-to-large enterprises, including Fortune 500 clients, wanting a... 23 years of operating history originating from a Novell technology acquisition, now serving Fortune 500 clients from a Malta-based HQ. 4.0 Full comparison
DataArt Enterprises across finance, media, healthcare, and retail wanting... 28 years of operating history across 30+ global delivery locations, with a newer (2024) dedicated AI strategy consulting service line. 3.9 Full comparison
Andersen Mid-to-large enterprises wanting AI/ML and data science delivered... Named AI-powered robotic integration line alongside standard AI/ML and data science services. 4.0 Full comparison
Innowise Group Companies wanting AI/ML delivered as part of a... Full-cycle software development scope (web, mobile, cloud, QA, security) with AI/ML as one of several integrated specialties. 3.9 Full comparison
Sigma Software Group Companies wanting ML delivered by an outsourcing firm... Consecutive annual placement on IAOP's World's Top 100 Outsourcing list every year since 2015. 4.0 Full comparison
Exadel Enterprises wanting model design through MLOps and production... Explicit end-to-end scope 'from model design to MLOps and integration' as one of five named core service lines. 4.1 Full comparison
MobiDev Retail, hospitality, and health/fitness companies wanting a mid-size... 65+ delivered AI/ML products concentrated in retail, hospitality, fitness, and health/wellness verticals. 4.2 Full comparison
Master of Code Global Companies specifically building conversational AI, chatbot, or generative-AI-driven... Specialization narrowly focused on conversational AI and chatbots, with 1,000+ projects delivered over 21 years. 4.1 Full comparison
ScienceSoft Companies wanting AI/ML delivered by a long-established generalist... 36 years of continuous IT consulting history, one of the longest track records among firms on this list. 3.9 Full comparison
Intellectsoft Enterprises wanting AI-powered application development from a firm... Named enterprise client roster (EY, Harley-Davidson, London Stock Exchange, Qualcomm, Jaguar) rare among mid-size firms on this list. 4.0 Full comparison
Belitsoft Small-to-mid companies wanting AI/ML added to a broader... 21 years as a custom software development firm now expanding deliberately into generative AI and predictive analytics. 3.9 Full comparison
Neoteric Small and mid-size companies wanting an accessible, specialized... 20 years of operating history condensed into a compact, generative-AI-focused team rather than a broad IT services portfolio. 4.3 Full comparison
Softweb Solutions Companies needing AI/ML specifically paired with IoT sensor... Backed by Avnet, a global electronics distributor, giving unusual hardware/IoT supply-chain proximity for AI-on-device projects. 3.9 Full comparison

Addepto FAQ

What is Addepto?

Addepto is an AI and data consulting company founded in Warsaw, Poland in 2018 by Edwin Lisowski and Artur Haponik (one source lists 2017), specializing in machine learning, artificial intelligence, and business intelligence solutions. Reported headcount is roughly 55–58 employees across Europe, North America, and Asia. In December 2025, Addepto was acquired by KMS Technology; prospective clients should confirm how the acquisition affects team continuity, existing contracts, and service delivery going forward.

How much does Addepto charge?

Addepto uses fixed project and consulting retainer pricing. Minimum engagement starts at $20K. A discovery call is required to get project-specific quotes.

What tech stack does Addepto use?

Addepto works with Python, Scikit-learn, TensorFlow, AWS, Azure. Primary industries served include Financial Services, Retail, Manufacturing.

Is Addepto right for enterprise?

Companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition.. 51–200 team size. Key consideration: Acquired by KMS Technology in December 2025 — buyers should confirm how this affects team continuity, pricing, and existing contracts before signing.

What are the best Addepto alternatives?

The best alternatives to Addepto depend on your use case. Top options are:

  • Neurons Lab: one of the few ai consultancies worldwide holding aws's advanced machine learning consulting competence.
  • Tensorway: full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team.
  • Provectus: combines ai/ml delivery with cloud and big-data engineering as a single integrated systems-integrator practice.
See full alternatives list

Compare Addepto with other Machine Learning Development agencies

Last reviewed: July 2026. Verify all details directly with Addepto before making a decision.