AI Software Development Companies for Production-Grade AI, Not Just Prototypes
The AI (artificial intelligence) space moves crazy fast. Last month's "best company” might not be the right fit for your project today.
We’re Flyaps, and we provide AI development services, too. We'd love to work with you, but we also acknowledge that different companies might be better at different things. The field is too new for anyone to be the best of them all. What matters is someone who has shipped AI products (not just demos) and who’s honest about whether you even need AI.
We picked the companies below because they deliver AI solutions that work. Some focus on big enterprise stuff, others on research, while others on simple AI experiences. Flyaps earned a spot because we've delivered AI long before it became mainstream. But we’re also honest about where competitors do better work.
TL;DR
| → Top companies for AI software development look very similar on paper. What matters is how well they fit your needs, so getting to know companies’ niche expertise is a rule of thumb. |
| → Flyaps has been building AI since 2013, focused on production-grade AI solutions deployed at scale. |
| → DataArt helps organizations turn complex data into working AI solutions. |
| → LeewayHertz builds AI projects that combine multiple technologies, such as blockchain, IoT, and machine learning. |
| → Vention delivers full-cycle AI and software development, from initial concept to launch and ongoing support. |
| → InData Lab specializes in AI and data science consulting, helps clients extract value from their data and automate workflows. |
| → Markovate focuses on generative AI and AI agents. |
| → The best AI partner is the one who understands your data, your use case, and your readiness for AI. |
Are you indeed ready to work with AI software companies?
Most businesses jump into AI without the basics in place, which explains why 80% of AI projects fail, according to RAND Corporation. So what do the successful 20% do differently? They nail the basics.
Before you start shopping for top AI development companies, take this quick test.
Quick diagnostic checklist
Data foundation
☐ Do you have at least 6 months of clean, organized data?
☐ Can you access your data without going through three different departments?
☐ Do you know where your data lives and who owns it?
Problem definition
☐ Can you describe the exact manual process AI will replace in one sentence?
☐ Do you have specific success metrics (not just "make things better")?
☐ Have you identified who will actually use this AI feature daily?
Organizational readiness
☐ Do you have a budget for 6-12 months of development (not just initial build)?
☐ Can someone on your team dedicate 10+ hours per week to the project?
☐ Are you prepared to change existing workflows?
With you having the checklist in front of you, let’s now take a look at AI software development companies that are considered best in the field.
The best AI development companies you should consider
We didn't pick companies with the biggest marketing budgets or the most buzzwords in their pitches. Instead, we focused on what determines AI project success: technical expertise in AI (not just “AI” recently added everywhere on their website), proven experience in various industries, and a track record of shipping products that work in production.
We also looked at practical factors, like engagement flexibility, because the best AI company on paper that promises to maximize client success means nothing if they can't work within your timeline or budget constraints.
We’ll start with Flyaps, since we know ourselves best.
Flyaps: Expertise in AI/ML since 2013, focused on deploying AI at scale
Flyaps is an AI software development company, with an office in New York, and a team based across Ukraine and Western Europe. We have been building AI solutions for enterprises and startups since 2013, so we can claim ourselves to be a seasoned software development company for complex data projects.
One of our first commercial projects is CV compiler, an ML-powered parsing tool that analyzes and repairs technical resumes. It's used by global companies like Indeed to enhance their existing solutions. In 2018, the app got featured on TechCrunch. Since then, our artificial intelligence development team has been building custom models for different industries, from HR tech to media to telecom.
We don’t just plug in existing tools like LLMs (though that is often the case today). We can also build custom machine learning models or tailored solutions from scratch on top of quality data. Our expertise includes: data engineering, infrastructure, model development, deployment, and maintenance. 90% of our AI and machine learning developers hold a Master’s Degree, and 20% are pursuing a Ph.D.
We know the field inside out.
➤ Our core AI expertise:
Generative AI: At Flyaps, we use pre-built AI components that reduce time-to-market by up to 30%. We also build our own generative AI models like one for visual content creation. It restyles images, improves resolution, and fills in missing pieces.
AI agents: We provide pre-built AI agents for retail, sales, finance, customer support, and employee onboarding. Use these agents, companies can launch up to 3X faster than with custom AI agent development.
AI chatbots: We have a pre-built AI Chatbot Kit that helps launch in 4 weeks at less than 40% of the usual cost and timeline. The kit combines a ready-made RAG core, APIs, and an admin panel, giving you 70% of the functionality of a fully custom build without the $250K+ price tag.
Data and analytics: We combine deep data engineering know-how with intuitive design to create data solutions that solve real business challenges and align with your business strategy.
MLOps and LLMOps: We deploy, monitor, and continuously improve models in production so your AI is more adaptable and cost-effective. We guarantee 40% faster deployment and 60% reduction in degradation incidents.
We offer three engagement models for MLOps services:
- MLOps audit: For teams that want clarity before committing to major changes.
- MLOps as a Service: For teams with models in production.
- MLOps on demand: For specific MLOps implementation needs.
➤ Industries we know well: Strong experience in telecommunications, HR tech, media, retail, airspace and defence.
➤ Our track record: We've built several complex AI products, including:
CV Compiler → An AI resume parsing app that fixes resumes to shine to recruiters.
HypeClub → A bid-and-ask marketplace with AI-generated product listings for sneakerheads.
UrbanSIM → A complex solution with predictive models for urban planning built on a microservices architecture and cloud technology.
Bavovna AI → An RNN AI Model for drone navigation that achieves 99,98% accuracy without GPS and raised $2.7 million in seed-stage funding.
➤ How we work with you: If you’re unsure where to start with AI, we can help identify opportunities to integrate it into your workflows. If you have clear requirements for AI-powered functionality or integration, we can deliver your project end-to-end.
If you're just looking for skilled talent with deep AI expertise, you can hire data engineers, data scientists, AI developers, ML engineers, Python developers, or DevOps engineers with expertise in MLOps and LLMOps at Flyaps.
➤ Consider Flyaps if: You're looking for production-grade AI solutions deployed at scale or MLOps/LLMOps services.
➤ Limitations: Small AI experiments or prototypes may fall outside our attention.
➤ What clients say:
| 🥳 Positive | 😐 Not so positive |
| “They were very experienced in what they were doing. All of their team members were senior developers, and most of them had 6–8 years of experience in development, which was very important.” | “They usually delivered work on time, with no crucial issues. Communication is good, leaving some room for improvement.” |
| Source | Source (we’re working on that, thank you for your feedback!) |
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See our AI servicesDataArt: Enterprise AI and data platforms for regulated industries
DataArt belongs to our list of top AI software development companies because of their strong focus on data, analytics, and AI platforms. They are a reliable partner that helps organizations discover where AI can bring the most value and turn those opportunities into real, production-ready solutions.
➤ Core AI expertise: DataArt covers a wide range of AI fields, from generative AI solutions and intelligent automation to predictive analytics, computer vision, and AI-assisted software development.
➤ Industry focus: The company has a broad industry reach, with experience in finance, healthcare, travel, media, retail, and education.
➤ Track record: DataArt showcases a portfolio of AI solutions, including a RAG-powered chatbot for equipment rental, a GenAI assistant for query generation, and a GenAI chatbot for healthcare.
➤ Engagement models: The software development company offers standard engagement approaches, like time and material, fixed-price, and managed services. But they've also included outcomes-based pricing models. This means they can structure deals around specific business results rather than just hours worked or deliverables completed.
➤ Consider DataArt if: You have complex legacy systems requiring integration, substantial compliance requirements, and a budget for enterprise-grade implementations with 6-12 month timelines.
➤ Limitations: Their enterprise focus means higher costs and longer timelines that may not suit startups.
➤ What clients say:
| 🥳 Positive | 😐 Not so positive |
| “They understood what we needed quickly and put together a team that was fit for purpose. DataArt’s expertise came in handy, and they delivered to a high standard.” | “As general feedback, I would say that they’re a bit expensive, but they offer excellent quality, so I wouldn’t ask them to lower their prices.” |
| Source | Source |
LeewayHertz: Multi-technology AI development combining blockchain, IoT, and ML
With 15+ years in the game, 100+ AI developers, and 50+ delivered AI solutions, LeewayHertz helps both startups and enterprises turn AI ideas into real products. They don’t just write code. They help plan, build, integrate, deploy, and maintain AI systems. Be it a quick proof-of-concept or a full-scale product in a regulated industry, they’ve got the right AI software development expertise to make it happen.
➤ Core AI expertise: Provides a comprehensive suite of AI services, including generative AI, computer vision, NLP, predictive analytics, and recommendation systems. LeewayHertz emphasizes the importance of data engineering as a foundation for robust and reliable data infrastructure.
➤ Industry focus: Demonstrates expertise in finance, healthcare, manufacturing, retail, automotive, logistics, and entertainment.
➤ Track record: The company’s work spans from an AI SaaS platform for creative ad generation to an LLM-powered service desk assistant. They’ve also delivered an anomaly detection system, an AI medical assistant that helps speed up disease diagnosis, and a label verification system.
➤ Engagement models: LeewayHertz offers three ways to work together: a dedicated team for ongoing support, a team extension model to add the skills you need quickly, and a project-based approach for well-defined goals with clear timelines.
➤ Consider LeewayHertz if: You're looking for a versatile AI partner who can handle multiple technologies (blockchain, IoT) in one engagement and need both strategic consulting and hands-on development for your business operations.
➤ Limitations: Their broad focus across AI, blockchain, IoT, Web3, and Metaverse might mean less specialized depth in cutting-edge AI research compared to companies that focus exclusively on developing AI-driven solutions.
➤ What clients say:
| 🥳 Positive | 😐 Not so positive |
| “They didn't try to sell us on any unnecessary additional services. They were very understanding of our needs as a startup, and ultimately delivered a great product that met all of our requirements.” | “The process of developing wireframes and initial decision making was a bit rushed, so they could work on slowing down the design process.” |
| Source | Source |
Vention: Engineering peace of mind with AI and custom software
Vention provides web development and custom software development services with artificial intelligence at the core, backed by 20+ years of experience and 100+ AI engineers. They position themselves as a full-cycle partner, guiding clients from initial concept and discovery to product launch and ongoing support.
➤ Core AI expertise: Specializes in generative AI, computer vision, natural language processing, predictive analytics, and recommendation systems.
➤ Industry focus: Vention serves a diverse range of industries, such as fintech, healthtech, e-commerce, real estate, and education.
➤ Track record: With a portfolio of over 500 clients, Vention has contributed to more than $15 billion in client acquisitions. Their projects include an AI leasing assistant, a monitoring solution that helps manage the process of neural network training, and more.
➤ Engagement models: Vention offers the standard dedicated team, staff augmentation, and project outsourcing models, as well as tailored services grouped for startups, enterprises, and AI companies. For example, startup-focused solutions include CTO-as-a-service and MVP development, while enterprise offerings cover cloud migration, legacy system modernization, and other large-scale initiatives.
➤Consider Vention if: You need a full-cycle development partner that can build a custom, end-to-end digital solution with integrated AI capabilities.
➤ Limitations: Like with other AI development companies on the list, we didn’t notice any big downsides, though one client said they’d like more visibility into the project.
➤ What clients say:
| 🥳 Positive | 😐 Not so positive |
| “What impressed me most was that Vention didn’t just act as order takers... they approached the project like true partners. Their team brought thoughtful questions, creative problem-solving, and a clear understanding of our goals.” | “If I had to highlight an area for improvement, it would be around providing a bit more visibility into the “behind-the-scenes” technical decisions and how the process worked in the backend.” |
| Source | Source |
InData Labs: Data science consulting and AI solutions with a dedicated R&D center
InData Labs provides data science consulting and custom AI-powered software development services. With a dedicated R&D center, they help clients worldwide get valuable insights from data, automate repetitive tasks, enhance performance and operational efficiency, add AI-driven features, and prevent cost overruns. They have been active in the field since 2014, which makes them a seasoned player in the AI space.
➤ Core AI expertise: InData Labs works in various AI domains, including generative AI, predictive analytics, computer vision, NLP, and intelligent automation. They provide both strategic consulting and hands-on development.
➤ Industry focus: Brings AI to many industries, like healthcare, gaming, retail, automotive, fintech, and more.
➤Track record: InData Labs has completed over 150 projects, many of which are AI-powered. These include a virtual assistant for customer support, a freight rate prediction tool for a transportation company, a smart cooking assistant, social media analytics software, and more.
➤Engagement models: While the website provides limited details, their AI software development page highlights two main options: a dedicated team model or a full project outsourcing model. They also offer an AI cost calculator for a quick, instant estimate of your project.
➤ Consider InData Labs if: You need a data science-first partner with deep expertise in predictive analytics and NLP. They are also a good fit if you need an experienced AI consultant to help you define your strategy and understand how AI can drive business value.
➤ Limitations: If you are in a niche industry like aerospace, where domain expertise is critical for success, you might want to consider a partner that has more experience in that specific field.
➤ What clients say:
| 🥳 Positive | 😐 Not so positive |
| “InData Labs is the best project management partner I’ve ever worked with. They’re very thorough and are good at explaining their work to us in a digestible way since we’re not tech savvy.” | “InData Labs could be more efficient when it comes to project proposals. They could also use their time better when we’re on planning calls. It would be helpful if they had more paint thrown on the wall ahead of the calls for the client to react to.” |
| Source | Source |
Markovate: GenAI expertise for fast ROI
Markovate is a GenAI company that helps growing businesses turn data into working AI systems. Founded 10 years ago, the company has evolved from a startup into a trusted AI development partner with over 200 successfully delivered projects.
➤ Core AI expertise: Markovate works with gen AI, agentic AI, conversational AI, computer vision, ML, and more.
➤ Industry focus: The key domains cover insurance (e.g., vehicle damage estimation), manufacturing (e.g., quality inspection), healthcare (e.g., patient monitoring), and construction (e.g., plan digitization).
➤ Track record: Their portfolio includes an AI medical coding agent, an AI blueprint classifier for construction efficiency, an AI-powered safety monitoring platform, an AI healthcare solution for online medical consultations, and more.
➤ Engagement models: Markovate doesn’t list detailed engagement options on their website. However, you can hire dedicated developers, and for more specifics, it’s best to contact them directly.
➤ Consider Markovate if: You need a partner with deep expertise in generative AI and AI agents.
➤Limitations: Their primary focus is generative AI, so they may not be the ideal choice for companies that need broader IT services.
➤ What clients say:
| 🥳 Positive | 😐 Not so positive |
| Their ability to translate complex risk factors into an AI-driven system that was both scalable and easy to use [impressed us most].” | “The initial calibration took longer than expected, but they resolved it effectively.” |
| Source | Source |
Bottom line: AI development companies are more similar than different
Each company on our list has its unique positioning, but the fundamental capabilities are remarkably alike. Most can handle generative AI, predictive analytics, and custom development. Most work across multiple industries. Most promise rapid deployment and proven results.
That’s why it’s not only about what they can do. It’s about what you should watch out for.
Red flags to avoid when comparing top AI development companies
Before you make your final decision, keep an eye on these warning signs that could signal trouble ahead.
🚩 "We can build anything" mentality
Avoid AI software companies that claim they can solve every problem. Good partners know their limits and tell you when AI isn’t the right tool.
🚩Vague timeline and cost estimates
If they can’t give rough numbers after learning about your project, they probably don’t understand AI complexity.
🚩 No questions about your data
Data is everything in AI. If they don’t ask about your data’s quality, volume, or governance, that’s a major red flag.
🚩AI-first solution to every problem
Sometimes simpler solutions work better. Beware of partners who push AI for everything.
🚩 No post-launch support plan
Models decay. If the potential partner doesn’t discuss monitoring and updates, expect problems six months in.
Stop looking for the best AI software company
There isn’t one. Instead, ask questions, like:
→ Who has delivered similar projects in your industry?
→ Who can work within your timeline and budget constraints?
→ Who asks questions about whether AI actually solves your problem, or if a simpler solution might work better?
If you explore Flyaps or another team on this list, the most important thing is finding an AI development company whose expertise aligns with your specific use case and organizational readiness. The right partner will challenge your assumptions, not just build what you think you want.
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