Best AI Development Firms

Markovate vs Cleveroad: full comparison for 2026

Quick verdict

Markovate (4.6/5) edges ahead of Cleveroad (4.0/5) overall. Markovate is the better choice for founders wanting an AI-only product partner. Cleveroad is the stronger option for startups needing AI features inside a mobile or web product. The right choice depends on your project size, budget, and required tech stack.

Markovate vs Cleveroad: head-to-head summary

Criterion Markovate Cleveroad
Founded 2015 2011
HQ San Francisco, United States Krakow, Poland
Team size 51-200 113-200
Rating 4.6 / 5 4.0 / 5
Primary differentiator AI-exclusive focus since 2015, predating the current generative AI surge Production-deployment discipline carried over from a decade of mobile and web delivery
Pricing model Fixed project or dedicated team Fixed project or dedicated team
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, PyTorch, OpenAI API Python, React Native, AWS
Industries served Fintech, Healthcare, Retail & e-commerce, Logistics Retail & e-commerce, Healthcare, Logistics

Markovate vs Cleveroad: overview

Markovate

Markovate has stayed narrowly focused on AI and machine learning product work since founding in 2015, running a team in the 51-200 range out of San Francisco. Co-founder Rajeev Sharma built the firm around shipping AI products end to end rather than staffing generic development teams, which shows in how consistently its case studies center on generative AI and applied ML rather than a broader software portfolio. That narrowness is a trade-off: less flexibility for non-AI work, more depth on the thing it actually does.

Cleveroad

Cleveroad has operated since 2011, though public sources disagree on where: LinkedIn lists Claymont, Delaware, while other trackers point to Krakow, Poland as the working base. Employee counts vary similarly, from roughly 113 up to a LinkedIn-reported 201-500. The firm's roots are in mobile and web development for startups and enterprise clients alike, with safe, production-grade AI deployment positioned as a newer strength built on that existing delivery discipline.

Services and capabilities: Markovate vs Cleveroad

Capability Markovate Cleveroad
Generative AI
Machine learning
AI agents
MLOps
AI consulting
Fixed-price projects
Dedicated team model

Tech stack comparison: Markovate vs Cleveroad

Framework / platform Markovate Cleveroad
Python
PyTorch N/A
TensorFlow N/A
LangChain N/A
AWS
Azure N/A N/A
Kubernetes N/A N/A

Pricing comparison: Markovate vs Cleveroad

Criterion Markovate Cleveroad
Minimum engagement Not disclosed Not disclosed
Engagement models Fixed project, Dedicated team Fixed project, Dedicated team
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: Markovate vs Cleveroad

Dimension Markovate Cleveroad
Best company size Startup to mid-market Startup to mid-market
Best industries Fintech, Healthcare, Retail & e-commerce Retail & e-commerce, Healthcare, Logistics
Best use cases Turning a generative AI idea into a working product with a small, senior team., Getting a fast prototype built before deciding whether to hire in-house AI engineers. Adding AI features to a mobile app already in production., Getting a startup MVP built with AI as one feature among several, not the entire product.
Typical project type Fixed project Fixed project

Markovate vs Cleveroad: pros and cons

Markovate
+ Ten years of AI-only positioning, well before generative AI became the default pitch for every dev firm.
+ San Francisco location keeps the team close to the model providers it works with most.
+ Comfortable taking founder calls directly rather than routing everything through account management.
+ Case studies describe shipped products, not proof-of-concept demos.
- Team size is small relative to the enterprise generalists on this list, which limits very large concurrent programs
- No public minimum engagement figure to plan a budget against upfront
Cleveroad
+ Mobile and web development roots translate into disciplined production deployment practices.
+ Over a decade of delivery history across startup and enterprise clients.
+ Operates across four continents, giving flexible timezone coverage.
+ AI is positioned as an addition to, not a replacement for, established delivery skills.
- Headquarters and employee count are reported inconsistently across public sources
- AI-specific case studies are less prominent than the firm's mobile and web development portfolio

Who should choose Markovate?

A typical fit: turning a generative AI idea into a working product with a small, senior team.

AI-exclusive focus since 2015, predating the current generative AI surge. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Retail & e-commerce, Logistics.

Who should choose Cleveroad?

A typical fit: adding AI features to a mobile app already in production.

Production-deployment discipline carried over from a decade of mobile and web delivery. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Healthcare, Logistics.

Decision matrix: Markovate vs Cleveroad

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Markovate
You need a large dedicated team for an ongoing programme Markovate
Your budget is at the lower end Compare: Markovate (Not disclosed) vs Cleveroad (Not disclosed)
You need specialist depth in a specific vertical Markovate
You need staff augmentation or team extension Neither; consider alternatives that offer staff aug
You need consulting before committing to a build Both may offer discovery engagements

Use case fit: Markovate vs Cleveroad

Use case Markovate fit Cleveroad fit Winner
Turning a generative AI idea into a working product with a small, senior team. Strong Limited Markovate
Getting a fast prototype built before deciding whether to hire in-house AI engineers. Strong Strong Both equally
Adding AI features to a mobile app already in production. Limited Strong Cleveroad
Getting a startup MVP built with AI as one feature among several, not the entire product. Strong Strong Both equally
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: Markovate vs Cleveroad

Markovate (4.6/5) is the stronger overall choice for most AI Development projects. AI-exclusive focus since 2015, predating the current generative AI surge.

Cleveroad (4.0/5) is worth a look if you need getting a startup MVP built with AI as one feature among several, not the entire product. If your situation matches that, Cleveroad is a competitive option.

Related comparisons

Markovate vs Cleveroad FAQ

Is Markovate better than Cleveroad?

Markovate (4.6/5) scores higher overall, but "better" depends on your use case. Markovate's strongest advantage: ten years of AI-only positioning, well before generative AI became the default pitch for every dev firm. Cleveroad's strongest advantage: mobile and web development roots translate into disciplined production deployment practices.

How do Markovate and Cleveroad differ in pricing?

Markovate uses fixed project or dedicated team pricing. Cleveroad uses fixed project or dedicated team pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Markovate or Cleveroad?

Cleveroad is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each firm before shortlisting.

What are the main differences between Markovate and Cleveroad?

Markovate's primary differentiator is: AI-exclusive focus since 2015, predating the current generative AI surge. Cleveroad's primary differentiator is: production-deployment discipline carried over from a decade of mobile and web delivery. They also differ in team size (51-200 vs 113-200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, Healthcare vs Retail & e-commerce, Healthcare).

Verify all details directly with each firm before making a decision.