Top Machine Learning Development Companies in the USA (2026)

The Platforms and Filters We Used

We started with the Clutch US machine learning directory, which lists more than 2,600 companies. We then cross-checked each firm on DesignRush, G2 and GoodFirms.

A firm made this list only if it met at least three of these tests:

• A rating of 4.7 or higher on Clutch, with 20 or more verified reviews.
• Machine learning listed as a meaningful share of its AI work, not a token tag.
• Presence on a second directory or an independent analyst report.
• A US headquarters or a clear US delivery presence.

For the enterprise tier, we used the ISG Provider Lens 2025 US specialist assessment, because large analytics firms rarely collect directory reviews.

Why Default Directory Rankings Can Mislead

The first company you see on a directory is often there because it paid. Clutch states on its ranking pages that it may earn a fee for some placements, and its top “Featured” slot is sponsored.

DesignRush sorts its machine learning list by “Sponsored” by default and keeps organic rankings as a separate option. A high overall rating can also hide thin ML evidence, so we checked how many reviews actually mention machine learning work.

Ratings, rates and minimum project sizes come from each firm’s Clutch listing as checked on 5 October 2026. ML focus is the share of the firm’s AI work it assigns to machine learning on Clutch.

These firms are smaller, US-based and put machine learning at the center of their work. They suit a defined project, such as a forecasting model, a recommendation engine or an LLM feature, where senior attention matters more than headcount.

Six Feet Up

Six Feet Up is a small Python and AI engineering firm in Indiana. Clients on Clutch describe a project estimated at two months that the team finished in weeks.

• Best for: Senior-led ML and LLM builds where code quality matters.
• HQ and delivery: Fishers, Indiana, with a team of 10 to 49.
• Ratings: Clutch 5.0 from 27 reviews, with machine learning listed as 50% of its AI focus.
• Rate and minimum: $200-300 per hour, with projects from $50,000.
• Watch-outs: The highest hourly rate on this list, and a small team for very large programs.

HatchWorks AI

HatchWorks AI combines AI strategy work with development and staff augmentation. It is one of the few US firms with consistent ratings across three directories.

• Best for: Companies that need an AI roadmap and a team to build it.
• HQ and delivery: Atlanta, Georgia, with 250 to 999 staff and nearshore delivery.
• Ratings: Clutch 4.9 from 29 reviews, G2 5.0 from 6 reviews and DesignRush 4.8 from 7 reviews.
• Rate and minimum: $50-99 per hour, with projects from $25,000.
• Watch-outs: The company announced Clutch Global 2026 awards in three AI categories; confirm the badges on its Clutch profile.

Valere

Valere builds AI-native software for startups and mid-market companies. It is a highlighted provider on G2’s AI Development Services grid.

• Best for: Mid-market companies building an AI product with a defined scope.
• HQ and delivery: Marlborough, Massachusetts, with 50 to 249 staff.
• Ratings: Clutch 4.8 from 59 reviews and G2 4.7 from 31 reviews, with ML at 50% of its AI focus.
• Rate and minimum: $50-99 per hour, with projects from $75,000.
• Watch-outs: Clutch’s summary of its ML reviews notes that 40% of those clients raised concerns about scope alignment and delivery timelines.

Sketch Development

Sketch Development is a small Missouri firm that mixes custom software, AI agents and agile coaching. Every one of its four most recent Clutch reviews is five stars.

• Best for: Mid-sized companies that want a small, senior US team.
• HQ and delivery: Webster Groves, Missouri, with 10 to 49 staff.
• Ratings: Clutch 5.0 from 23 reviews, with ML at 40% of its AI focus.
• Rate and minimum: $150-199 per hour, with projects from $10,000.
• Watch-outs: Much of its work is general custom software, so ask for ML-specific case studies.

NineTwoThree AI Studio

NineTwoThree builds custom AI products, from chatbots to machine learning applications. All six of its Clutch reviews that mention machine learning are five stars.

• Best for: Funded companies building an AI-first product.
• HQ and delivery: Danvers, Massachusetts, with 50 to 249 staff.
• Ratings: Clutch 4.9 from 41 reviews.
• Rate and minimum: $100-149 per hour, with projects from $100,000.
• Watch-outs: Its focus leans toward chatbots and generative AI, which make up 40% of its AI work, rather than classic predictive ML.

These firms have hundreds or thousands of engineers and can add ML specialists to your team quickly. Most deliver from nearshore or offshore centers, which lowers the rate but means you should check who will actually do the work.

Vention

Vention has the largest review record of any firm on Clutch’s US machine learning list. Clients often describe its engineers as an extension of their own team.

• Best for: Growing companies that need to add several engineers fast.
• HQ and delivery: New York, with 1,000 to 9,999 staff, largely delivering from Eastern Europe.
• Ratings: Clutch 4.9 from 102 reviews, G2 4.7 from 10 reviews and DesignRush 4.6.
• Rate and minimum: $50-99 per hour, with projects from $50,000.
• Watch-outs: Machine learning is 20% of its AI focus, so ask for ML engineers by name and check their production experience.

BairesDev

BairesDev is known for staffing developers quickly from Latin America, in US time zones. Clients on Clutch praise how fast it fills roles.

• Best for: US companies that want nearshore engineers in their own working hours.
• HQ and delivery: San Francisco, with 1,000 to 9,999 staff.
• Ratings: Clutch 4.9 from 63 reviews and DesignRush 4.8 from 8 reviews.
• Rate and minimum: $50-99 per hour, with projects from $50,000.
• Watch-outs: One recent Clutch review noted some early developer turnover while the team settled in.

Dualboot Partners

Dualboot Partners was founded by former tech entrepreneurs and pairs product strategy with engineering. Its Clutch reviews describe fast, well-managed product launches.

• Best for: Companies launching a new product with AI features built in.
• HQ and delivery: Charlotte, North Carolina, with 250 to 999 staff.
• Ratings: Clutch 4.9 from 56 reviews, with ML at 40% of its AI focus.
• Rate and minimum: Rate not disclosed, with projects from $75,000.
• Watch-outs: It offers a wide service mix, so confirm the depth of its ML team for your use case.

Simform

Simform is a large engineering firm with strong overall ratings across three directories. It is a sensible option when budget and delivery capacity matter most.

• Best for: Cost-conscious companies that need a large delivery team.
• HQ and delivery: Listed on Clutch as serving the US, with 1,000 to 9,999 staff.
• Ratings: Clutch 4.8 from 88 reviews, G2 4.9 from 26 reviews and DesignRush 4.9 from 16 reviews.
• Rate and minimum: $25-49 per hour, with projects from $25,000.
• Watch-outs: Its top position on Clutch’s list is a paid Featured slot, and Clutch shows only 2 reviews that mention machine learning, neither of them five stars.

Azumo

Azumo builds AI, data and cloud software with nearshore teams. DesignRush named it in its April 2026 ranking of top AI development agencies.

• Best for: Smaller budgets that still need US-time-zone collaboration.
• HQ and delivery: San Francisco, with 50 to 249 staff.
• Ratings: Clutch 4.9 from 27 reviews.
• Rate and minimum: $25-49 per hour, with projects from $10,000.
• Watch-outs: ML is 20% of its AI focus, and its DesignRush rating varies between pages, so check the live profile.

Itransition

Itransition is a large software firm where machine learning makes up half of its AI focus on Clutch. Its listed clients include global brands across finance and retail.

• Best for: Enterprises that need ML alongside ERP, CRM or data platform work.
• HQ and delivery: US listings in Colorado and Georgia, with 1,000 to 9,999 staff and largely offshore delivery.
• Ratings: Clutch 4.9 from 42 reviews and DesignRush 4.6 from 3 reviews.
• Rate and minimum: $25-49 per hour on Clutch, with projects from $25,000.
• Watch-outs: Its first place on DesignRush’s machine learning list appears in the default sponsored sort, not the organic one.

Large analytics firms rarely appear on review directories, so analyst reports are the better signal here. ISG’s 2025 Provider Lens study of US specialist analytics and AI providers named Fractal, Lingaro, MathCo, Quantiphi, Tiger Analytics, Tredence and WNS Analytics as Leaders, according to ISG’s January 2026 release.

These firms suit multi-year programs with many data and ML workstreams. Expect enterprise pricing and procurement processes.

Tiger Analytics

• Best for: Enterprises that need ML in production across retail, consumer goods and financial services.
• Recognition: ISG 2025 US specialist Leader.
• Delivery: It runs its own MLOps platform, MLCore, which covers drift detection and model observability, according to a 2026 MLOps market comparison.
• Watch-outs: Best matched to large programs; smaller projects may not get senior attention.

Quantiphi

• Best for: Companies committed to AWS or Google Cloud that want a certified partner.
• Recognition: ISG 2025 US specialist Leader, and named a Leader in ISG’s 2025 AWS ecosystem report, according to Quantiphi’s announcement.
• Delivery: The company reports more than 3,500 cloud-certified professionals.
• Watch-outs: Its strength is tied to the major clouds, so it suits cloud-native data teams best.

Fractal Analytics

• Best for: Decision science and ML programs that serve senior business leaders.
• Recognition: ISG 2025 US specialist Leader.
• Delivery: Fractal listed on the Indian stock exchanges in February 2026 rather than selling to a larger group.
• Watch-outs: Pricing and engagement size are aimed at large enterprises.

Tredence

• Best for: Retail, consumer goods and supply chain analytics with ML built in.
• Recognition: ISG 2025 US specialist Leader.
• Delivery: Combines data engineering with applied ML for operational decisions.
• Watch-outs: Confirm current case studies in your industry before shortlisting.

Disclosure: Cypherox publishes this guide. We did not include ourselves in the rankings above, because our directory review record is still small.

Cypherox is an AI and software development company based in Ahmedabad, India, with a delivery model built for US and UK clients. On Clutch, we hold a 5.0 rating from 2 verified reviews, with projects starting from $5,000.

We work with SaaS, fintech and healthtech companies that want to produce ML without building a full in-house team first. You can hire ML developers on a dedicated basis or engage our AI and ML development services for a defined project.

If you are still deciding whether ML fits your problem, our AI and ML strategy consulting team can scope it before you commit a large budget.

Most ML development companies on Clutch charge $50-99 per hour, with minimum project sizes from about $1,000 to more than $75,000. Clutch’s machine learning directory says a proof of concept often starts near $10,000, while enterprise-grade production work can reach $250,000 or more.

Hourly rates, shown here for the firms in this guide, do not predict total cost on their own. A $200-per-hour senior team that ships a working model in eight weeks can cost less than a cheaper team that needs six months. For a full breakdown of in-house versus outsourced costs, see our guide on the cost to hire an ML developer.

Check ML-Specific Reviews, Not Just Overall Ratings

A 4.9 rating built on web and app projects says little about ML skill. On Clutch, open the firm’s profile and look for the count of reviews that mention machine learning, and how many of those are five stars.

Confirm Production and MLOps Experience

Ask for one model the firm put into production and how it is monitored today. Firms with real experience will talk about data drift, retraining and DevOps for model deployment without being prompted.

Match Compliance Needs Such as HIPAA and SOC 2

Healthtech projects need a partner that has handled HIPAA-covered data, and fintech buyers often ask for SOC 2 reports. Regulated teams should also ask how the firm handles model interpretation and explanation for auditors.

Our step-by-step guide on how to hire an ML developer covers assessments and interview questions in more depth.

• The top listing is sponsored. Check whether a firm’s position comes from a paid placement before treating it as a ranking.
• No ML-specific reviews. Strong overall ratings with zero ML reviews usually mean ML is a sales tag, not a core skill.
• No questions about your data. A serious ML partner asks about data volume, quality and labels in the first call.
• Accuracy is the only success metric. Good vendors tie models to business outcomes, cost and fairness.
• No plan after launch. If monitoring and retraining are not in the proposal, expect a model that degrades quietly.

Shortlisting vendors is easier when you know what you need to build. If you want a second opinion on scope, budget or hiring model, book a 15-minute call with our team.

You can also compare our engagement models or read our related guide to top AI development companies in the USA.