Best AI Agent Development Companies

Cogniteq vs SoluLab: full comparison for 2026

Last updated: August 2026

Quick verdict

SoluLab (3.8/5) edges ahead of Cogniteq (3.7/5) overall. SoluLab is the better choice for companies wanting agentic AI combined with blockchain or IoT integration under one vendor.. Cogniteq is the stronger option for cost-conscious buyers wanting a boutique European team for a well-scoped agentic AI project.. The right choice depends on your project size, budget, and required tech stack.

Cogniteq vs SoluLab: head-to-head summary

Criterion Cogniteq SoluLab
Founded 2005 2014
HQ Vilnius, Lithuania Los Angeles, CA, USA
Team size 51–200 201–500
Rating 3.7 / 5 3.8 / 5
Best for Cost-conscious buyers wanting a boutique European team for a well-scoped agentic AI project. Companies wanting agentic AI combined with blockchain or IoT integration under one vendor.
Pricing model Fixed project, dedicated team Fixed project, dedicated team
Min. engagement $15K (per company website; independently unverifiable) $20K (per company website; independently unverifiable)
Primary tech stack Python, LangChain, AWS Python, LangChain, AWS
Industries served Retail & E-commerce, Financial Services, Manufacturing, Healthcare Financial Services, Retail & E-commerce, Technology & SaaS, Healthcare

Cogniteq vs SoluLab: overview

Cogniteq

Cogniteq is a full-cycle software development company founded in 2005 and headquartered in Vilnius, Lithuania, with roughly 75–200 employees and additional offices in Poland and the US. It delivers custom technology services and products across industries, with agentic AI as a newer addition to its existing software development practice. Its boutique size limits capacity for very large programs but keeps overhead — and likely cost — lower than mid-size and enterprise competitors.

SoluLab

SoluLab is an IT services and consulting company founded in 2014, with headquarters reported in both the Los Angeles area and Ahmedabad, India, and roughly 200–250 employees. It specializes in blockchain development alongside AI, IoT, and mobile app development, with agentic AI positioned as one part of a broader emerging-technology practice. Buyers whose priority is agent-framework depth specifically should weigh SoluLab's multi-technology focus against more concentrated AI-only specialists.

Services and capabilities: Cogniteq vs SoluLab

Capability Cogniteq SoluLab
Multi-agent orchestration
RAG / knowledge integration
Workflow & systems integration
Coding agents
Monitoring & anomaly detection
Customer-facing agents

Tech stack comparison: Cogniteq vs SoluLab

Framework / platform Cogniteq SoluLab
LangChain
LangGraph N/A N/A
AutoGen N/A N/A
LlamaIndex N/A N/A
OpenAI N/A N/A
Anthropic Claude N/A N/A
Pinecone N/A N/A
AWS
Azure N/A
Kubernetes N/A N/A

Pricing comparison: Cogniteq vs SoluLab

Criterion Cogniteq SoluLab
Minimum engagement $15K (per company website; independently unverifiable) $20K (per company website; independently unverifiable)
Engagement models Fixed project, Dedicated team Fixed project, Dedicated team
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible Accessible

Target audience comparison: Cogniteq vs SoluLab

Dimension Cogniteq SoluLab
Best company size Startup to mid-market Startup to mid-market
Best industries Retail & E-commerce, Financial Services, Manufacturing Financial Services, Retail & E-commerce, Technology & SaaS
Best use cases Well-scoped, budget-conscious agentic AI projects for mid-market clients, Extending an existing custom software contract with agent capability Agents that need to interact with blockchain or decentralized data sources, IoT-adjacent automation agents monitoring device or sensor data
Typical project type Fixed project Fixed project

Cogniteq vs SoluLab: pros and cons

Cogniteq
+ Two decades of full-cycle software development history since 2005
+ Baltic-region cost base typically undercuts Western European and US-headquartered competitors
+ Boutique headcount keeps senior engineers hands-on rather than delegated
+ Multi-country office footprint (Lithuania, Poland, US) supports both nearshore and onshore client contact
- Agentic AI is a newer service line layered onto a generalist software development practice
- 51–200 team size limits capacity for large or highly parallel enterprise programs
- Reported headcount varies by source (roughly 77 to 200), worth confirming directly
SoluLab
+ Cross-disciplinary practice (blockchain, IoT, AI) suits agents needing to interact with non-traditional data sources
+ Dual US/India presence balances client proximity with offshore delivery cost
+ Ten years of operating history since 2014
+ 200+ person team gives reasonable capacity beyond boutique-scale competitors
- Agentic AI is one of several technology practices rather than the firm's core specialty
- Headquarters location reported inconsistently across sources (Los Angeles vs. Ahmedabad)
- Blockchain-heavy branding may read as a mismatch for buyers seeking a pure AI/agent specialist

Who should choose Cogniteq?

Cogniteq is the right choice for cost-conscious buyers wanting a boutique European team for a well-scoped agentic AI project..

Boutique full-cycle development shop with two decades of Baltic-region delivery history at a lower cost base than Western European or US firms.. Minimum engagement starts at $15K (per company website; independently unverifiable). Works best with clients in Retail & E-commerce, Financial Services, Manufacturing, Healthcare.

Who should choose SoluLab?

SoluLab is the right choice for companies wanting agentic AI combined with blockchain or IoT integration under one vendor..

Cross-disciplinary practice spanning blockchain, IoT, and AI, useful for agents that need to interact with decentralized or device data.. Minimum engagement starts at $20K (per company website; independently unverifiable). Works best with clients in Financial Services, Retail & E-commerce, Technology & SaaS, Healthcare.

Decision matrix: Cogniteq vs SoluLab

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Cogniteq
You need a large dedicated team for an ongoing programme Cogniteq
Your budget is at the lower end Cogniteq
You need specialist depth in a specific vertical Cogniteq
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: Cogniteq vs SoluLab

Use case Cogniteq fit SoluLab fit Winner
Well-scoped, budget-conscious agentic AI projects for mid-market clients Strong Limited Cogniteq
Extending an existing custom software contract with agent capability Strong Limited Cogniteq
Agents that need to interact with blockchain or decentralized data sources Limited Strong SoluLab
IoT-adjacent automation agents monitoring device or sensor data Limited Strong SoluLab
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: Cogniteq vs SoluLab

SoluLab (3.8/5) is the stronger overall choice for most AI Agent Development projects. Cross-disciplinary practice spanning blockchain, IoT, and AI, useful for agents that need to interact with decentralized or device data.. It is best for companies wanting agentic AI combined with blockchain or IoT integration under one vendor..

Cogniteq (3.7/5) is the better choice when cost-conscious buyers wanting a boutique European team for a well-scoped agentic AI project.. If your situation matches those criteria, Cogniteq is a competitive option.

Related comparisons

Cogniteq vs SoluLab FAQ

Is Cogniteq better than SoluLab?

SoluLab (3.8/5) scores higher overall, but "better" depends on your use case. Cogniteq is better for cost-conscious buyers wanting a boutique European team for a well-scoped agentic AI project.. SoluLab is better for companies wanting agentic AI combined with blockchain or IoT integration under one vendor..

How do Cogniteq and SoluLab differ in pricing?

Cogniteq uses fixed project, dedicated team pricing with a minimum engagement of $15K (per company website; independently unverifiable). SoluLab uses fixed project, dedicated team pricing with a minimum engagement of $20K (per company website; independently unverifiable). Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Cogniteq or SoluLab?

SoluLab 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 Cogniteq and SoluLab?

Cogniteq's primary differentiator is: boutique full-cycle development shop with two decades of baltic-region delivery history at a lower cost base than western european or us firms.. SoluLab's primary differentiator is: cross-disciplinary practice spanning blockchain, iot, and ai, useful for agents that need to interact with decentralized or device data.. They also differ in team size (51–200 vs 201–500), minimum engagement ($15K (per company website; independently unverifiable) vs $20K (per company website; independently unverifiable)), and primary industries served (Retail & E-commerce, Financial Services vs Financial Services, Retail & E-commerce).

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