The top AI development companies in 2027 include LeewayHertz, Konstant Infosolutions, Simform, HatchWorks AI, Azumo, 10Pearls, ScienceSoft, Itransition, Globant, Master of Code Global, InData Labs, SoluLab, Plavno and Softeq. The best fit depends on your goal: a quick proof of concept, a nearshore team, an enterprise-wide rollout, or AI built into hardware. This guide compares all thirteen so you can shortlist in minutes, not weeks.

Key Takeaways

• AI has moved from “should we try it?” to “who should build it?” Agentic AI (software that plans and acts on its own) is the hot topic of 2027.
• Gartner-based forecasts cited by Belitsoft put agentic AI spending at about $201.9 billion in 2026, which explains why every software firm now claims an AI practice.
• Our 14 picks range from boutique AI specialists to global enterprises. Match the company to your budget, industry and timeline, not just the logo.
• Always ask for references from a similar project, a clear data-security plan, and a fixed discovery phase before signing a long contract.

Why AI Development Is Trending Right Now

A couple of years ago, most businesses were experimenting with chatbots. Today, they are asking harder questions: Can an AI agent handle our support queue? Can machine learning cut our supply-chain costs? Can we ship an AI feature without hiring a whole research team?

The numbers back this shift. An IEEE global survey found that 96% of technologists expect agentic AI innovation and adoption to keep accelerating in 2026, and McKinsey’s Technology Trends Outlook 2026 lists agentic AI and agentic software development among its headline trends. Another industry forecast projects the agentic AI market growing from roughly $7 billion in 2025 to over $90 billion by 2032.

For you, that means two things. There are more capable AI partners than ever, and it is easier than ever to pick a wrong one. That is why this list focuses on what actually matters to a buyer: what each company does well, where it may not be the right fit, and how to reach them.

How We Picked These AI Development Companies

We reviewed public profiles on Clutch, GoodFirms, ITFirms and Built In, company websites, press releases and independent industry roundups published through 2026. We looked at:

• AI depth: generative AI, machine learning, agents, computer vision, data engineering.
• Delivery track record: years in business, project volume, named clients and verified reviews.
• Fit for different buyers: startups, mid-market teams and large enterprises.
• Transparency: clear contact details, published pricing signals and security certifications.

The order below is not a paid ranking. Company details can change, so please confirm current information on each company’s website before you reach out.

Top AI Development Companies at a Glance

Company	Best for	Headquarters
LeewayHertz	Generative and agentic AI for enterprise workflows	San Francisco, CA (now part of The Hackett Group)
Konstant Infosolutions	Budget-friendly AI plus mobile and web apps	Jaipur, India
Simform	Cloud-native AI and product engineering at scale	Orlando, FL
HatchWorks AI	AI strategy plus AI-assisted software delivery	Atlanta, GA
Azumo	Nearshore AI engineering teams	San Francisco, CA
10Pearls	End-to-end digital products with AI inside	Vienna, VA
ScienceSoft	Regulated industries and long-term IT partnerships	McKinney, TX
Itransition	Enterprise AI, Dynamics 365 and Salesforce projects	Denver, CO
Globant	Large-scale, subscription-style AI delivery	Luxembourg
Master of Code Global	Conversational and generative AI	Redwood City, CA
InData Labs	Data science and custom machine learning	Nicosia, Cyprus
SoluLab	AI combined with blockchain and mobile	Los Angeles, CA
Plavno	AI agents, automation and MVPs	Alexandria, VA
Softeq	Edge AI, IoT and embedded systems	Houston, TX

The 14 Best AI Development Companies in 2027

LeewayHertz

Founded in 2007, LeewayHertz began as an early iPhone app developer and has grown into a generative AI and enterprise AI consulting firm. Its work spans AI agents, custom model development and workflow automation, and it has been featured by Forbes among top AI consulting firms. In 2026 it became part of The Hackett Group, a Nasdaq-listed strategy and executive advisory firm.

Pros:

• Long track record, with past clients that include well-known brands such as Siemens, Hershey’s and ESPN.
• Strong focus on generative and agentic AI for business workflows.
• Backing from a public advisory firm can help with larger enterprise programs.

Cons:

• The Hackett acquisition may change how smaller clients are served; ask who will staff your project.
• A small number of public reviews mention project oversight and timelines, so check references.

Services: Generative AI development, AI agents, AI consulting, mobile and web development, blockchain and IoT.

Contact: 388 Market Street, Suite 1300, San Francisco, CA | +1 415 301 2880 | sales@leewayhertz.com

Website: leewayhertz.com

Konstant Infosolutions

Konstant Infosolutions, founded in 2003 and headquartered in Jaipur, India, describes itself as an AI-driven mobile and web app development company. It also has offices in New York, London and Dubai and says it has worked across 15+ industries. On Clutch it holds a 4.9 rating from 173 reviews, and its public profile splits its work roughly between mobile app development (58%), AI development (32%) and web development (10%).

Pros:

• Accessible pricing: Clutch lists a $5,000+ minimum project size and hourly rates of $25-$49, with most reviewed projects between $10,000 and $49,999.
• Reviewers most often praise communication, timeliness, professionalism and value for cost, including across time zones.
• Strong mobile heritage, which helps when you want AI features inside an iOS or Android app.

Cons:

• Some reviewers report shifting or missed timelines, which they link to scope changes or miscommunication, so lock down scope and milestones in writing.
• AI is one service line among several, so ask for case studies that match your use case.
• Public sources give different team sizes (180+ experts in company text versus a larger range on Clutch); confirm who would staff your project.

Services: AI development, mobile app development, web development, cloud and DevOps, blockchain, IoT, AR/VR, UI/UX design and post-launch support.

Contact: A-23, Sundar Singh Bhandari Nagar, Swage Farm, New Sanaganer Road, Jaipur, India | sales@konstantinfo.com | US phone listed in directories: +1 310 933 5465

Website: konstantinfo.com

Simform

Simform is a digital engineering company founded in 2010 and headquartered in Orlando, with major delivery operations in India. It focuses on cloud, data, AI/ML and experience engineering, and works with software companies and tech-enabled enterprises. One 2026 roundup notes that Clutch ranked Simform first for AI development among more than 14,000 firms in its Spring 2025 Global analysis.

Pros:

• Deep cloud and data engineering, which matters because most AI projects fail on data plumbing, not models.
• Large team and a “co-engineering” delivery style that embeds with your staff.
• Microsoft and AWS partnerships.

Cons:

• Built for sizeable engagements, so very small projects may feel over-engineered.
• Time-zone overlap needs planning if most of your team works in the US.

Services: AI/ML engineering, generative AI, data engineering, cloud and DevOps, product and platform engineering, experience design.

Contact: 111 N Orange Ave, Suite 800, Orlando, FL 32801 | (321) 237-2727

Website: simform.com

HatchWorks AI

Founded in 2016 in Atlanta, HatchWorks AI calls itself a pure-play AI partner. Its “Generative-Driven Development” method uses AI at every stage of building software, and it combines US-based leadership with nearshore engineers in Latin America. Its clients lean toward healthcare, financial services and telecom.

Pros:

• Offers strategy, training and delivery under one roof, which helps first-time AI buyers.
• Nearshore model keeps working hours close to US teams.
• Databricks partnership for data and AI platforms.

Cons:

• Clutch lists typical projects from about $125,000, so it is geared to larger budgets.
• Mid-market focus; global enterprises may want a bigger bench.

Services: AI strategy and roadmap, AI-powered software development, agentic AI automation, data readiness and governance, AI training and workshops.

Contact: 5256 Peachtree Road, Suite 120, Atlanta, GA 30341 | 1 800 621 7063

Website: hatchworks.com

Azumo

Azumo is a San Francisco-based nearshore software company with engineering teams across Latin America and the Caribbean. It builds AI, data, mobile and web solutions and has been recognized by Clutch and DesignRush for AI development and outsourcing.

Pros:

• Flexible: Clutch shows projects ranging from roughly $4,200 to $500,000, so it suits both small and large scopes.
• Reviewers frequently praise communication, responsiveness and project management.
• Good fit if you already have a product and technical lead but need extra AI engineering capacity.

Cons:

• Smaller than the global giants on this list.
• Best as an extension of your team; if you need heavy strategy consulting, pair it with an advisor.

Services: AI agent and LLM development, data engineering, staff augmentation, custom software, mobile and web development.

Contact: 60 Francisco St, San Francisco, CA 94133 (see the website for phone and email options)

Website: azumo.com

10Pearls

Founded in 2004 and based in the Washington, DC area, 10Pearls builds digital products for enterprises, mid-size firms and start-ups, with delivery centers across North America, Latin America, Europe and South Asia. It acquired Inspirant Group in 2023 and has appeared repeatedly on Inc. growth lists and Built In’s best places to work.

Pros:

• Full product lifecycle: strategy, design, engineering, cloud, data science, security and QA.
• Large global team of about 1,400 people.
• Experience across healthcare, finance, energy, education and retail.

Cons:

• AI is one capability among many, so ask to meet the specific AI team that would work on your project.
• Likely a stretch for very small budgets.

Services: Digital product development, AI/ML, cloud architecture, UI/UX, cybersecurity, quality assurance.

Contact: 8614 Westwood Center Dr, Vienna, VA 22182 | +1 703 935 1919

Website: 10pearls.com

ScienceSoft

ScienceSoft has been in software and AI since 1989, with US headquarters in McKinney, Texas, and offices in Atlanta, Mexico City and the Gulf region. It reports 750+ IT professionals, ISO 9001 and ISO 27001 certifications, and clients that include Walmart, eBay, NASA JPL and IBM.

Pros:

• Decades of experience and formal security certifications, helpful in regulated sectors such as healthcare and finance.
• Quick team ramp-up; the company says dedicated teams can start in two days to two weeks.
• Wide technical range, from big data to IoT, blockchain and AI/ML.

Cons:

• A broad generalist, so look for proof of AI projects similar to yours.
• Not a boutique; expect a structured, process-heavy engagement.

Services: AI and machine learning, data analytics, custom software, IoT, cloud, cybersecurity, managed IT.

Contact: 5900 S. Lake Forest Drive, Suite 300, McKinney, TX 75070 | +1 214 306 6837 | contact@scnsoft.com

Website: scnsoft.com

Itransition

Itransition has been building software since 1998 and says it has served 800+ clients across manufacturing, finance, healthcare and retail. It combines custom software with AI (chatbots, computer vision, predictive analytics) and enterprise platform work on Microsoft Dynamics 365 and Salesforce. Its profile on Clutch shows a 4.9 rating.

Pros:

• Strong if your AI project must plug into ERP or CRM systems.
• Over two decades of delivery experience and offices in the US, UK and Europe.
• Recognized by major research firms for outsourced development.

Cons:

• Enterprise-oriented pricing and process; smaller start-ups may find it heavy.
• Many service lines mean you should confirm the AI team’s depth.

Services: AI and machine learning, Dynamics 365, Salesforce, web and mobile apps, custom software, BI and data.

Contact: Denver, CO | +1 720 207 2820 | info@itransition.com

Website: itransition.com

Globant

Globant is a NYSE-listed digital services company founded in 2003 and based in Luxembourg, with more than 28,700 employees in over 30 countries. It sells subscription-based “AI Pods” (AI-powered engineering teams), plus its Globant Enterprise AI platform for building and deploying custom AI agents. In 2026 it announced a partnership to offer AI Pods powered by Anthropic’s Claude models.

Pros:

• Scale and global coverage for multi-country rollouts.
• Subscription AI Pods can make costs more predictable than hourly billing.
• Industry-specific AI studios for sectors like finance, healthcare and retail.

Cons:

• Built for large organizations; small and mid-size companies may get more attention from a boutique.
• Many layers of account management can slow early-stage experiments.

Services: AI Pods, Globant Enterprise AI, AI studios, digital transformation, cloud and data, cybersecurity.

Contact: 37A Avenue J.F. Kennedy, L-1855 Luxembourg | +352 4818 281 | Press: pr@globant.com | Sales enquiries via the website contact form

Website: globant.com

Master of Code Global

Founded in 2004 by Dmitry Gritsenko and based in Redwood City, California, Master of Code Global specialises in conversational AI, generative AI integration and customer-experience automation. It also has offices in Seattle and Winnipeg and works with e-commerce, banking, airport and education clients.

Pros:

• One of the longest-running chatbot and conversational AI specialists.
• Focused expertise means less time explaining what you want.
• ISO certification and hundreds of delivered projects.

Cons:

• Best for customer-facing and conversational use cases; less obvious for heavy data science or hardware AI.
• Mid-size team of roughly 185-500 people depending on the source, so large global programs may need extra planning.

Services: Conversational AI and chatbots, generative AI integration, conversation design, business process automation, web and mobile apps, consulting.

Contact: 541 Jefferson Ave, Suite 100, Redwood City, CA (use the website contact form for phone and email)

Website: masterofcode.com

InData Labs

InData Labs is a data science and AI company founded in 2014, with its headquarters listed in Nicosia, Cyprus and a US office address in Miami in some directories. It focuses on custom machine learning, computer vision, NLP and production AI systems, and appears in Clutch’s AI software rankings.

Pros:

• Genuine data-science depth, from data preparation through deployment and monitoring.
• Own R&D mindset, useful for novel problems rather than off-the-shelf integrations.
• Strong client feedback on Clutch, though the review count is modest.

Cons:

• Smaller team, so capacity for very large parallel projects is limited.
• Directory listings differ on office addresses; confirm where your team would actually be based.

Services: Custom machine learning, AI software development, computer vision, NLP, data capture and OCR, AI consulting.

Contact: Nicosia, Cyprus | +357 97706028 | US office listed: 333 S.E. 2nd Ave, Suite 2000, Miami, FL | +1 786 871 3300

Website: indatalabs.com

SoluLab

SoluLab started in 2014 and builds AI, blockchain, IoT, mobile and web solutions for start-ups through mid-size companies. It lists offices in Los Angeles and New York, and was co-founded by a former Goldman Sachs vice president and a former Citrix principal solutions architect.

Pros:

• Handy if your AI idea also needs blockchain, payments or crypto features.
• Works well with entrepreneurs and small to mid-size businesses.
• Offers MVP development, so you can test an idea before a bigger commitment.

Cons:

• Historically known for blockchain, so verify AI-specific case studies.
• Public reviews are fewer than for larger firms.

Services: AI and machine learning, generative AI, blockchain, NFT and dApps, IoT, mobile and web development, MVP development.

Contact: 575 Broadway, New York, NY 10012 | +1 347 270 8590

Website: solulab.com

Plavno

Plavno describes itself as an AI-first software company and says it has delivered over 800 projects. It builds AI agents, automation platforms, voice AI, mobile apps and enterprise software, and has listed US contact details in Alexandria, Virginia alongside European operations.

Pros:

• Clear focus on AI agents, automation and voice AI.
• Product-minded approach: discovery, UX, engineering, QA and MLOps in one team.
• Good option for MVPs and agent pilots.

Cons:

• Company details differ between sources (for example years in business), so ask for a clear company profile.
• Less brand recognition than the global firms above.

Services: AI agent development, machine learning, MVP development, custom software, web and mobile apps, cloud and MLOps.

Contact: 700 N Fairfax Street, Suite 614, Alexandria, VA | +1 571 237 4240

Website: plavno.io

Softeq

Softeq was founded in 1997 in Houston, Texas, and shifted from general app development toward machine learning, IoT, embedded software and hardware. It has worked with large technology and consumer brands, and is a strong pick when AI needs to run on a device, not just in the cloud.

Pros:

• Rare combination of software, embedded and hardware engineering in one vendor.
• Clutch reviewers highlight reliability, communication and clean code.
• Wide budget range: Clutch shows projects from about $5,000 to over $300,000.

Cons:

• Not the best match for purely marketing or chatbot-style AI projects.
• One public review notes they could not help with a specific hardware manufacturing need, so confirm scope early.

Services: Edge AI and machine learning, IoT, embedded software, hardware prototyping, mobile and web apps, AR/VR.

Contact: 1155 Dairy Ashford Rd, Houston, TX 77079 | +1 713 574 6870

Website: softeq.com

How to Choose the Right AI Development Company

A glossy portfolio is easy to find. These checks are what actually protect your budget:

1. Start with the business problem. “We want AI” is not a brief. “We want to cut support response time by half” is.
2. Ask about your data. A good partner will ask where your data lives, how clean it is and who owns it before talking about models.
3. Request a similar case study. Same industry or same type of AI (agents, vision, forecasting) is ideal. Then ask to speak to that client.
4. Check security and IP terms. You should own your code, models and data. Look for certifications such as ISO 27001 where relevant.
5. Insist on a paid discovery phase. A few weeks of scoping and a prototype reveal more than any sales deck.
6. Plan for after launch. AI systems drift. Ask who monitors, retrains and supports the system once it is live.
7. Compare engagement models. Fixed price suits a well-defined MVP; dedicated teams or subscriptions suit evolving products.

What Does AI Development Cost?

Prices vary widely by scope, data readiness and the partner you choose. As a rough guide from public Clutch profiles, Softeq lists projects from about $5,000 and Azumo from about $4,200, while Konstant Infosolutions lists a $5,000+ minimum, and HatchWorks AI lists typical projects from about $125,000 upward. A small proof of concept and an enterprise-wide agent platform are very different things, so ask every shortlisted company for an estimate based on your own written brief.

Benefits of Working With a Specialist AI Partner

• Faster time to value: experienced teams avoid common pitfalls, from poor data quality to unrealistic expectations.
• Lower hiring risk: AI engineers are in high demand; a partner gives you a ready team.
• Better governance: as regulators and customers ask how AI decisions are made, a mature partner builds in testing, monitoring and documentation.
• Room to scale: start with a small pilot, then grow the engagement as results appear.

Frequently Asked Questions

Who are the top AI development companies in 2027?

Frequently recommended names include LeewayHertz, Konstant Infosolutions, Simform, HatchWorks AI, Azumo, 10Pearls, ScienceSoft, Itransition, Globant, Master of Code Global, InData Labs, SoluLab, Plavno and Softeq. The best one for you depends on your industry, budget and the type of AI you need.

How much does it cost to hire an AI development company?

Public project ranges on Clutch run from a few thousand dollars for small engagements to several hundred thousand dollars or more for large builds. Your final cost depends on scope, data quality, integrations and the team’s location.

What is agentic AI development?

Agentic AI refers to systems that can plan steps, make decisions and take actions toward a goal with limited human input, such as an agent that triages support tickets, books appointments or drafts and tests code. These systems still need human review and strong guardrails.

How long does an AI project take?

A focused proof of concept can take a few weeks, while a production-ready AI product often takes several months. One firm on this list, for example, cites an average 12-week delivery cycle for products, but timelines depend heavily on your data and approvals.

Should I choose a nearshore, offshore or onshore AI partner?

Nearshore teams (such as Azumo or HatchWorks AI) offer similar working hours to US clients. Offshore teams can offer cost advantages and large benches. Onshore partners simplify compliance and meetings but usually cost more. Choose based on how closely you need to collaborate day to day.

How do I verify an AI development company is legitimate?

Check verified reviews on Clutch or GoodFirms, ask for client references, confirm the legal entity and office address, and review contract terms covering IP ownership, data security and exit options.

Final Thoughts

There is no single “best” AI development company, only the best one for your situation. If you want a nearshore team to extend your engineers, Azumo or HatchWorks AI are natural starting points. If you need enterprise scale, Globant, Simform or Itransition deserve a look. If your AI has to live inside a device, Softeq stands apart. Shortlist three, run a short paid discovery with each, and let real work, not slides, decide.

Disclaimer: Company information was gathered from public sources and verified in October 2026. Details such as pricing, offices and contact information can change, so please confirm directly with each company before making decisions.