Machine Learning Development Companies
Machine learning companies build predictive systems — forecasting, scoring, classification, recommendation — and the data pipelines that keep them running. Compare vetted vendors, read reviews and request quotes.
Popular Countries for Machine learning
Smart analytics system. Works with already installed cameras, keeps data confidential. Evaluate marketing campaigns - accurate data, graphs and heat maps help you calculate the tra…
Saratov · Since 2019 · 1-10 employees
Joomla custom development. Website and online stores creation with Joomla.
Webtronics is a full-service digital agency. Since 2010 we have been helping companies to develop their business online, get more applications at a lower price, expand their audien…
- Min. project
- $100+
- Min. project
- $10k+
- Min. project
- $30k+
Emeryville · Since 2016 · 201-500 employees
All Ways of Quality Always
New York · Since 2017 · 11-50 employees
Intactdia is a full-service web development and digital marketing agency dedicated to helping businesses thrive in the digital world. We provide innovative solutions in web develop…
- Min. project
- $300+
- Hourly rate
- $30–$150/hr
Development of Web applications, Mobile applications for iOS and Android, Desktop applications, UX/UI interfaces.
- Min. project
- $3k+
For 15 years we have been developing and designing digital products, services and websites.We make B2B and D2C e-commerce, personal offices, information systems, portals.Among clie…
- Min. project
- $30k+
Since 2021 · 1-10 employees
Combining marketing tools for effective business development. We package goals into digital metrics and select tools to achieve them. Maximize the effectiveness of marketing invest…
- Min. project
- $3k+
- Min. project
- $3k+
Since 2019 · 11-50 employees
Increase business performance by creating and supporting comprehensive business solutions. Offer consultations, teach and implement sophisticated products, change processes, help u…
- Min. project
- $20k+
- Hourly rate
- $50–$100/hr
Digital Habits is a trusted partner for business digitalization, not just a service provider. Our focus is constantly on technological innovation, with teams deeply immersed in the…
Irving · Since 2004 · 201-500 employees
Your Trusted Technology Partner
Ecosystem of solutions for automation and organization of work of lawyers and arbitration managers. Products: - monitoring of counterparties; - automation of work organization: RTC…
- Min. project
- $100+
- Min. project
- $3k+
A team of over 200 thinkers with burning eyes ready to help business enthusiasts from all over the world in developing UI, web and mobile IOS and Android applications
- Min. project
- $30k+
Mobile development - design, cross-platform applications, android, ios;Web development - fronted, backend, web applications, pwa application, serverless applications;UX/UI design -…
New York · Since 2010 · 51-200 employees
Best Software Development Company
Austin · Since 2021 · 51-200 employees
Create – Inspire – Deliver
- Min. project
- $500+
- Hourly rate
- $50–$99/hr
Kaunas · Since 2024 · 51-200 employees
Cluster of 7 IT companies from Lithuania, embodying Nordic values
- Min. project
- €5k+
- Hourly rate
- €20–€120/hr
A team of young specialists. We are engaged in professional Web / iOS / Android development and accompany clients at all stages of product creation and support: prototyping, design…
- Min. project
- $3k+
Before you shortlist anyone
All calculatorsThe short answer
1,178 Machine learning companies are listed. 61% publish a minimum project budget; the median floor is $10k. Most work starts in the $3–10k range. Median published rate is $25/hr across 71 companies.
Best supplied: United States (182) · India (131) · Ukraine (59)
Recalculated 2026-11-11 from live profiles.
What it costs, by country
Each cell counts companies whose published minimum project budget falls in that band. Only countries with at least 5 listed companies appear.
| Country | under $3k | $3–10k | $10–20k | $20–30k | $30k+ | Median rate |
|---|---|---|---|---|---|---|
| United States182Widest choice | 5 | 27 | 23 | 16 | 55 | $40/hr |
| India131 | 1 | 22 | 13 | 13 | 19 | $18/hr |
| Ukraine59 | — | 14 | 5 | 10 | 4 | — |
| Germany31 | — | 2 | — | 5 | 1 | — |
| United Kingdom30 | — | 4 | 4 | 4 | 9 | — |
| Netherlands28 | — | 4 | 4 | 4 | 10 | — |
| Poland27 | — | 4 | 4 | 5 | 6 | — |
| Canada9 | 1 | — | 1 | — | 3 | — |
| Armenia9 | — | 3 | 2 | — | — | — |
| Australia8 | 1 | 1 | — | 3 | — | — |
| Romania7 | — | 2 | 1 | — | — | — |
| Israel5 | — | 2 | — | — | — | — |
How this table is built
- Figures are minimum project budgets companies publish on their own profiles — the floor below which they decline work, not the price of a finished project.
- USD only. Companies quote in six currencies and averaging across them produces a number nobody charges.
- Budgets outside $300–$2,000,000 and rates outside $5–$500/hr are dropped as data-entry errors.
- A country needs 5 listed companies for a row, and 5 published rates before a median rate is shown.
What will your budget reach?
Move the slider. Every figure below is a count of companies whose published minimum project budget sits at or under that amount.
240 of 720 companies (33%) take projects at this size.
Where the entry thresholds sit
- under $3k
- 22
- $3–10k
- 218
- $10–20k
- 164
- $20–30k
- 137
- $30k+
- 179
Goes furthest in United States — 32 companies
This says who will engage, not what your scope should cost. A budget that reaches most of the market still buys very different things depending on what you are building.
Who is focused, and who has proved it
Horizontal: how concentrated a company is on Machine learning. Vertical: how much checkable evidence stands behind it. 60 of 1178 companies are plotted — the rest have fewer than 2 evidence signals, so placing them would be guesswork.
- Big Drop IncLeaders
- FueledLeaders
- The Digital EmbassyLeaders
- Vergani&GascoLeaders
- IntellectsoftLeaders
- moodleyLeaders
How a company is placed
- Focus is the inverse of how many categories a company claims, blended with the share of its portfolio tagged with this one. A firm listing three technologies is concentrated; a firm listing forty also appears here.
- Proven delivery adds published reviews (to 20), portfolio projects (to 25), Ahrefs Domain Rating (to 60) and years listed (to 10). Each is capped so no single signal carries a company to the top.
- Positions are relative to the other companies on this page: the median company sits at the centre of each axis, so a quadrant boundary means "ahead of half the companies listed here". Raw scores are in each bubble's tooltip.
- Deliberately excluded: the star rating, which sits in too narrow a band to separate anyone; the editorial rank, which is a hand-assigned sort weight; and paid verification, which does not move anything on this chart.
- Leaders:
- Concentrated on this work and with the record to show for it.
- Specialists:
- This is most of what they do, but the public evidence is still thin.
- Established generalists:
- A substantial track record, spread across many categories.
- Emerging:
- Building both focus and evidence.
Customer Reviews about Machine learning
ENCYPHERS
The new email flows felt elevated, aligned with our brand identity, and created a more seamless experience for customers after subscribing and making a purchase. Communication throughout the project was organized and collaborative, and the final result added a much stronger retention layer to our ecommerce experience.
Futuro Studio
Great team!
MiaoWebs
Where machine learning still pays best
Generative AI takes the attention, but classic supervised learning remains the highest-return category in most industries, because the problems are narrow, the metrics are unambiguous and the models are cheap to run. If you can state the target variable in one sentence and you have two years of labelled history, machine learning is usually the right tool.
- Forecasting. Demand, inventory, cash flow and staffing, at SKU or location granularity.
- Scoring and risk. Credit, fraud, churn and lead quality, with the explainability regulators and reviewers require.
- Recommendation and ranking. Product feeds, search relevance, matching and dynamic pricing.
- Predictive maintenance. Sensor and telemetry models that flag failures before they stop a line.
- MLOps. Feature stores, training pipelines, drift monitoring and retraining — the part that decides whether a model survives its first year.
How to evaluate an ML partner
- Ask for the baseline. A team that cannot tell you how much their model beats a simple heuristic has not measured the thing that matters.
- Ask about the offline-to-online gap: how validation accuracy translated to business metrics in a past project.
- Check monitoring: drift detection, retraining triggers and what happens when input data silently changes shape.
- Confirm data readiness early. Most ML timelines slip on access, labelling and quality, not modelling.
- Get deployment in scope from day one — batch, real-time or edge — because it dictates the whole architecture.
Portfolio Projects
Frequently Asked Questions
How much data do we need?
What does an ML project cost?
How long until a model is in production?
Machine learning or an LLM?
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