Best ML Model Development Companies

Addepto vs Devbridge (a Cognizant company): full comparison for 2026

Last updated: July 2026

Quick verdict

Addepto (4.4/5) edges ahead of Devbridge (a Cognizant company) (3.8/5) overall. Addepto is the better choice for cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build.. Devbridge (a Cognizant company) is the stronger option for clients who want Devbridge's original product-engineering delivery model but are comfortable working within Cognizant's larger corporate structure and account processes.. The right choice depends on your project size, budget, and required tech stack.

Addepto vs Devbridge (a Cognizant company): head-to-head summary

Criterion Addepto Devbridge (a Cognizant company)
Founded 2018 2005
HQ Warsaw, Poland Chicago, USA (delivery centers: Lithuania, Poland, UK, Canada)
Team size 51–200 601–1,000 (at acquisition)
Rating 4.4 / 5 3.8 / 5
Best for Cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build. Clients who want Devbridge's original product-engineering delivery model but are comfortable working within Cognizant's larger corporate structure and account processes.
Pricing model Project-based Not published; now aligned with Cognizant's enterprise engagement structures
Min. engagement $10,000 Not published
Primary tech stack Python, MLOps tooling, Cloud ML platforms (AWS/GCP/Azure) Python, Cloud ML platforms (AWS/Azure/GCP), Data engineering tooling
Industries served Finance, Healthcare, Retail Global 2000 / large enterprise (cross-industry)

Addepto vs Devbridge (a Cognizant company): overview

Addepto

Addepto is a Poland-based AI consulting firm founded in 2018 by Artur Haponik and Edwin Lisowski that focuses specifically on machine learning consulting, MLOps consulting, and data/analytics advisory work rather than broader software development. The company has around 52 employees and holds a 4.7 Clutch rating, with Clutch-reported project costs typically in the $10,000–$49,000 range, making it one of the more budget-accessible options among firms in this category. Addepto has been recognized among Forbes' top AI consulting companies and appeared on the Deloitte Technology Fast 500 EMEA list, citing 1,193 percent revenue growth over the qualifying period. In December 2025, Addepto was acquired by KMS Technology, a US-based digital engineering, data, and AI company backed by growth private equity firm Sunstone Partners; Addepto now operates as an integrated division rather than as a fully independent company.

Devbridge (a Cognizant company)

Devbridge Group was founded in 2005 in Chicago and built a reputation as a product engineering boutique serving Global 2000 clients before being acquired by Cognizant in a deal completed in December 2021, adding more than 600 engineers, designers, and product managers to Cognizant's delivery network. Post-acquisition, Devbridge's machine learning and data science capability has been folded into Cognizant's broader digital engineering portfolio rather than continuing as a fully independent, standalone ML practice. The brand continues to operate as "Devbridge, a Cognizant company," and its historical delivery centers in Lithuania, Poland, the UK, and Canada remain part of Cognizant's global footprint.

Services and capabilities: Addepto vs Devbridge (a Cognizant company)

Capability Addepto Devbridge (a Cognizant company)
Custom model training
Fine-tuning & adaptation
MLOps pipeline
Model deployment & serving
Data engineering for ML
ML infrastructure management
Computer vision
NLP & LLM development
Forecasting & time-series modeling
ML strategy consulting

Tech stack comparison: Addepto vs Devbridge (a Cognizant company)

Framework / platform Addepto Devbridge (a Cognizant company)
PyTorch N/A N/A
TensorFlow N/A N/A
MLflow N/A N/A
AWS SageMaker N/A N/A
Amazon Bedrock N/A N/A
Google Cloud N/A N/A
Microsoft Azure N/A N/A
Kubernetes N/A N/A
Snowflake N/A N/A
NVIDIA N/A N/A

Pricing comparison: Addepto vs Devbridge (a Cognizant company)

Criterion Addepto Devbridge (a Cognizant company)
Minimum engagement $10,000 Not published
Engagement models Fixed project, Advisory/consulting retainer Enterprise project engagement (via Cognizant), Dedicated team
Rate transparency Minimum disclosed Not public
Price tier Accessible Mid-market

Target audience comparison: Addepto vs Devbridge (a Cognizant company)

Dimension Addepto Devbridge (a Cognizant company)
Best company size Startup to mid-market Mid-market to enterprise
Best industries Finance, Healthcare, Retail Global 2000 / large enterprise (cross-industry)
Best use cases Auditing an existing ML pipeline and recommending MLOps improvements, Running a well-scoped, budget-constrained machine learning pilot Global 2000 companies wanting Devbridge's original product-engineering approach with Cognizant-scale backing, Clients already working with Cognizant who want to route product-engineering-style ML work through the Devbridge brand/team
Typical project type Fixed project Enterprise project engagement (via Cognizant)

Addepto vs Devbridge (a Cognizant company): pros and cons

Addepto
+ 4.7 Clutch rating with lower typical project cost ($10K–$49K) than most peers in this comparison.
+ Named a top 10 AI consulting company by Forbes.
+ Deloitte Technology Fast 500 EMEA recognition (#143) signals strong recent revenue growth.
+ Focused specifically on ML/MLOps consulting rather than diluting attention across general software development.
- Small team (~52 employees) caps capacity for large or multiple concurrent enterprise engagements.
- Lower typical project size may signal a fit for smaller-scope work rather than large production ML platforms.
- Public case studies with named enterprise clients are limited in available sources.
- Now part of KMS Technology following the December 2025 acquisition, introducing near-term integration and roadmap uncertainty for prospective clients.
Devbridge (a Cognizant company)
+ Nearly two decades of original product-engineering delivery heritage prior to acquisition.
+ Now backed by Cognizant's much larger delivery network and financial resources, adding stability.
+ Historical delivery centers (Lithuania, Poland, UK, Canada) provide multi-region European coverage.
+ Transparent, publicly documented ownership change (December 2021 Cognizant acquisition) rather than an undisclosed structure.
- No longer operates as an independent boutique; clients should expect Cognizant's account structures and processes rather than the original standalone Devbridge experience.
- A distinct, current Devbridge-specific ML practice (separate from Cognizant's broader AI/analytics practice) is not clearly documented in available public sources post-acquisition.
- No standalone current Devbridge Clutch/G2 rating was found; the parent Cognizant G2 rating (around 4.2/5) reflects the broader business, not Devbridge specifically.
- Team size reflects headcount at the time of acquisition (2021) and may not represent current, Devbridge-specific staffing.

Who should choose Addepto?

Addepto is the right choice for cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build..

Dedicated MLOps-consulting service line and Clutch-reported project pricing well below several peers in this list, making it the more budget-accessible option.. Minimum engagement starts at $10,000. Works best with clients in Finance, Healthcare, Retail.

Who should choose Devbridge (a Cognizant company)?

Devbridge (a Cognizant company) is the right choice for clients who want Devbridge's original product-engineering delivery model but are comfortable working within Cognizant's larger corporate structure and account processes..

The clearest ownership-change disclosure in this comparison: a formerly independent boutique now operating explicitly as a Cognizant subsidiary, combining boutique delivery heritage with large-parent-company backing.. Minimum engagement starts at Not published. Works best with clients in Global 2000 / large enterprise (cross-industry).

Decision matrix: Addepto vs Devbridge (a Cognizant company)

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Addepto
You need a large dedicated team for an ongoing programme Devbridge (a Cognizant company)
Your budget is at the lower end Compare: Addepto ($10,000) vs Devbridge (a Cognizant company) (Not published)
You need specialist depth in a specific vertical Addepto
You need staff augmentation or team extension Neither; consider alternatives that offer staff aug
You need consulting before committing to a build Addepto

Use case fit: Addepto vs Devbridge (a Cognizant company)

Use case Addepto fit Devbridge (a Cognizant company) fit Winner
Auditing an existing ML pipeline and recommending MLOps improvements Strong Limited Addepto
Running a well-scoped, budget-constrained machine learning pilot Strong Limited Addepto
Global 2000 companies wanting Devbridge's original product-engineering approach with Cognizant-scale backing Limited Strong Devbridge (a Cognizant company)
Clients already working with Cognizant who want to route product-engineering-style ML work through the Devbridge brand/team Limited Strong Devbridge (a Cognizant company)
Fixed-price build Limited Limited Both equally
MLOps pipeline setup Strong Limited Addepto

Verdict: Addepto vs Devbridge (a Cognizant company)

Addepto (4.4/5) is the stronger overall choice for most ML Model Development projects. Dedicated MLOps-consulting service line and Clutch-reported project pricing well below several peers in this list, making it the more budget-accessible option.. It is best for cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build..

Devbridge (a Cognizant company) (3.8/5) is the better choice when clients who want Devbridge's original product-engineering delivery model but are comfortable working within Cognizant's larger corporate structure and account processes.. If your situation matches those criteria, Devbridge (a Cognizant company) is a competitive option.

Related comparisons

Addepto vs Devbridge (a Cognizant company) FAQ

Is Addepto better than Devbridge (a Cognizant company)?

Addepto (4.4/5) scores higher overall, but "better" depends on your use case. Addepto is better for cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build.. Devbridge (a Cognizant company) is better for clients who want Devbridge's original product-engineering delivery model but are comfortable working within Cognizant's larger corporate structure and account processes..

How do Addepto and Devbridge (a Cognizant company) differ in pricing?

Addepto uses project-based pricing with a minimum engagement of $10,000. Devbridge (a Cognizant company) uses not published; now aligned with cognizant's enterprise engagement structures 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: Addepto or Devbridge (a Cognizant company)?

Devbridge (a Cognizant company) 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 Addepto and Devbridge (a Cognizant company)?

Addepto's primary differentiator is: dedicated mlops-consulting service line and clutch-reported project pricing well below several peers in this list, making it the more budget-accessible option.. Devbridge (a Cognizant company)'s primary differentiator is: the clearest ownership-change disclosure in this comparison: a formerly independent boutique now operating explicitly as a cognizant subsidiary, combining boutique delivery heritage with large-parent-company backing.. They also differ in team size (51–200 vs 601–1,000 (at acquisition)), minimum engagement ($10,000 vs Not published), and primary industries served (Finance, Healthcare vs Global 2000 / large enterprise (cross-industry)).

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