Best ML Development Services

SoluLab vs Simform: full comparison for 2026

Last updated: July 2026

Quick verdict

SoluLab (4.1/5) edges ahead of Simform (3.8/5) overall. SoluLab is the better choice for companies that want AI development from a vendor also fluent in blockchain/Web3 integration.. Simform is the stronger option for companies wanting AI/ML engineering bundled with broader cloud, DevOps, and data platform engineering.. The right choice depends on your project size, budget, and required tech stack.

SoluLab vs Simform: head-to-head summary

Criterion SoluLab Simform
Founded 2014 2010
HQ Woodland Hills, California, United States Orlando, Florida, United States
Team size 246–250 500–1,300
Rating 4.1 / 5 3.8 / 5
Best for Companies that want AI development from a vendor also fluent in blockchain/Web3 integration. Companies wanting AI/ML engineering bundled with broader cloud, DevOps, and data platform engineering.
Pricing model Project-based, dedicated team Time & materials, dedicated team
Min. engagement Not published Not published
Primary tech stack OpenAI API, LangChain, Python AWS, Kubernetes, Apache Spark
Industries served Media & Entertainment, Automotive, Education, FinTech Retail & E-commerce, Healthcare, FinTech, Manufacturing

SoluLab vs Simform: overview

SoluLab

SoluLab was founded in 2014–2015 by Chintan Thakkar and Rajat Lala and is headquartered in Woodland Hills, California, with a team of roughly 246–250 engineers, data scientists, and AI specialists. The firm positions itself as an 'AI-native, Blockchain, and Web3' development company and reports having delivered 1,500+ projects across 15+ countries for clients including The Walt Disney Company, Mercedes-Benz, and the University of Cambridge (per company website; independently unverifiable at this scale). Its dual focus on AI and blockchain/Web3 makes it broader than a pure ML specialist.

Simform

Simform was founded in 2010 and is headquartered in Orlando, Florida, growing to a reported 500–1,300 employees (sources vary) across full-suite digital engineering capabilities including cloud, DevOps, data, and AI/ML engineering. The firm was recognized as a 2023 Fall Clutch Champion and ranked #2 worldwide among Clutch's Top B2B Service Providers of 2023, a notable third-party distinction. Its broad 'digital engineering' positioning means AI/ML is one of several core engineering disciplines rather than the company's primary identity.

Services and capabilities: SoluLab vs Simform

Capability SoluLab Simform
Custom ML Models
Computer Vision
NLP
MLOps
Generative AI
AI Consulting

Tech stack comparison: SoluLab vs Simform

Framework / platform SoluLab Simform
TensorFlow N/A
PyTorch N/A N/A
AWS
Azure N/A N/A
Google Cloud N/A N/A
LangChain N/A
Hugging Face N/A N/A
Kubernetes N/A

Pricing comparison: SoluLab vs Simform

Criterion SoluLab Simform
Minimum engagement Not published Not published
Engagement models Project-based, Dedicated team Dedicated team, Time & materials, Staff augmentation
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: SoluLab vs Simform

Dimension SoluLab Simform
Best company size Startup to mid-market Startup to mid-market
Best industries Media & Entertainment, Automotive, Education Retail & E-commerce, Healthcare, FinTech
Best use cases Company building an AI product with a blockchain or Web3 component needs a single integrated vendor., Enterprise wants a vendor with named brand-name reference clients for procurement comfort. Company needs AI/ML engineering delivered alongside cloud infrastructure and DevOps from one vendor., Enterprise wants a vendor with a top-2 global Clutch B2B ranking for procurement confidence.
Typical project type Project-based Dedicated team

SoluLab vs Simform: pros and cons

SoluLab
+ Named enterprise clients (The Walt Disney Company, Mercedes-Benz, University of Cambridge) offer verifiable reference points, though the specific scope of each engagement is unconfirmed.
+ 246–250 team size supports mid-to-large engagements without enterprise-firm overhead.
+ Combined AI and blockchain/Web3 capability is useful for clients building tokenized or decentralized AI products.
+ 10 years of company history (since 2014–2015) under continuous founder leadership.
- 1,500+ projects claim across 15+ countries is difficult to independently verify at face value.
- Blockchain/Web3 focus alongside AI means clients purely interested in ML may be paying for adjacent expertise they don't need.
Simform
+ Ranked #2 worldwide among Clutch's Top B2B Service Providers of 2023, a strong independently sourced distinction.
+ 500–1,300 person scale (reports vary) supports large, multi-workstream cloud + AI/ML programs.
+ 14+ years of company history (since 2010) with full-suite digital engineering capability beyond AI alone.
+ Combines cloud/DevOps engineering with AI/ML, reducing hand-off friction between infrastructure and model delivery teams.
- Reported employee count varies significantly across sources (500–1,000 vs. ~1,300), so confirm current scale directly.
- AI/ML is one of several core engineering disciplines (cloud, DevOps, data) rather than the firm's exclusive specialty.

Who should choose SoluLab?

SoluLab is the right choice for companies that want AI development from a vendor also fluent in blockchain/Web3 integration..

Combines AI-native development with blockchain/Web3 expertise under one delivery team.. Minimum engagement starts at Not published. Works best with clients in Media & Entertainment, Automotive, Education, FinTech.

Who should choose Simform?

Simform is the right choice for companies wanting AI/ML engineering bundled with broader cloud, DevOps, and data platform engineering..

Ranked #2 worldwide among Clutch's Top B2B Service Providers of 2023 — one of the strongest third-party rankings in this list.. Minimum engagement starts at Not published. Works best with clients in Retail & E-commerce, Healthcare, FinTech, Manufacturing.

Decision matrix: SoluLab vs Simform

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Both offer fixed-price models
You need a large dedicated team for an ongoing programme SoluLab
Your budget is at the lower end Compare: SoluLab (Not published) vs Simform (Not published)
You need specialist depth in a specific vertical SoluLab
You need production MLOps support after model launch Simform
You need consulting before committing to a build Both may offer discovery engagements

Use case fit: SoluLab vs Simform

Use case SoluLab fit Simform fit Winner
Company building an AI product with a blockchain or Web3 component needs a single integrated vendor. Strong Strong Both equally
Enterprise wants a vendor with named brand-name reference clients for procurement comfort. Strong Strong Both equally
Company needs AI/ML engineering delivered alongside cloud infrastructure and DevOps from one vendor. Strong Strong Both equally
Enterprise wants a vendor with a top-2 global Clutch B2B ranking for procurement confidence. Strong Strong Both equally
Fixed-scope ML build Limited Limited Both equally
Ongoing model retraining Limited Limited Both equally

Verdict: SoluLab vs Simform

SoluLab (4.1/5) is the stronger overall choice for most Machine Learning Development projects. Combines AI-native development with blockchain/Web3 expertise under one delivery team.. It is best for companies that want AI development from a vendor also fluent in blockchain/Web3 integration..

Simform (3.8/5) is the better choice when companies wanting AI/ML engineering bundled with broader cloud, DevOps, and data platform engineering.. If your situation matches those criteria, Simform is a competitive option.

Related comparisons

SoluLab vs Simform FAQ

Is SoluLab better than Simform?

SoluLab (4.1/5) scores higher overall, but "better" depends on your use case. SoluLab is better for companies that want AI development from a vendor also fluent in blockchain/Web3 integration.. Simform is better for companies wanting AI/ML engineering bundled with broader cloud, DevOps, and data platform engineering..

How do SoluLab and Simform differ in pricing?

SoluLab uses project-based, dedicated team pricing with a minimum engagement of Not published. Simform uses time & materials, dedicated team pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: SoluLab or Simform?

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

What are the main differences between SoluLab and Simform?

SoluLab's primary differentiator is: combines ai-native development with blockchain/web3 expertise under one delivery team.. Simform's primary differentiator is: ranked #2 worldwide among clutch's top b2b service providers of 2023 — one of the strongest third-party rankings in this list.. They also differ in team size (246–250 vs 500–1,300), minimum engagement (Not published vs Not published), and primary industries served (Media & Entertainment, Automotive vs Retail & E-commerce, Healthcare).

Last reviewed: July 2026. Verify all details directly with each company before making a decision.