Best AI Agent Developers

Azumo vs SoftKraft: full comparison for 2026

Last updated: June 2026

Quick verdict

Azumo (4.4/5) edges ahead of SoftKraft (4.3/5) overall. Azumo is the better choice for uS product teams seeking nearshore AI engineering with LLM fine-tuning expertise and SOC 2 compliance. SoftKraft is the stronger option for saaS and tech companies that prioritise code quality and test-driven validation for AI agent deployments. The right choice depends on your project size, budget, and required tech stack.

Azumo vs SoftKraft: head-to-head summary

Criterion Azumo SoftKraft
Founded 2016 2013
HQ San Francisco, CA, USA (nearshore delivery in Latin America) Kraków, Poland
Team size 201–500 51–200
Rating 4.4 / 5 4.3 / 5
Best for US product teams seeking nearshore AI engineering with LLM fine-tuning expertise and SOC 2 compliance SaaS and tech companies that prioritise code quality and test-driven validation for AI agent deployments
Pricing model Dedicated team, retainer, T&M Fixed project, dedicated team
Min. engagement Not disclosed Not disclosed
Primary tech stack LLaMA, OpenAI, Gemini Python, LangChain, OpenAI
Industries served Fintech, Healthcare, SaaS, E-commerce, Enterprise SaaS, Fintech, Healthcare, E-commerce, Technology

Azumo vs SoftKraft: overview

Azumo

Azumo is a nearshore software development company specialising in AI, machine learning, and natural language processing, with engineering teams in Latin America and leadership in San Francisco. The firm's AI agent approach centres on fine-tuning pre-trained LLMs (LLaMA, OpenAI, Gemini) for specific, well-defined use cases — customer support, document summarisation, risk analysis — rather than broad generalised systems. SOC 2 compliance is supported for private model tuning. Azumo is a practical fit for US product teams needing nearshore speed with Silicon Valley engineering standards.

SoftKraft

SoftKraft is a Poland-based software development company specialising in Python-driven AI and ML engineering, with a test-driven development (TDD) approach to agentic AI. The firm covers LLM integration, RAG systems, custom AI agent development, and full-stack Python engineering for SaaS and tech companies. SoftKraft's TDD methodology means AI agents are validated against defined test cases before production deployment, reducing hallucination risk and improving system reliability.

Services and capabilities: Azumo vs SoftKraft

Capability Azumo SoftKraft
Custom AI agents
Multi-agent systems
RAG pipelines
LLM integration
MLOps
AI consulting
Fixed-price projects
Dedicated team model

Tech stack comparison: Azumo vs SoftKraft

Framework / platform Azumo SoftKraft
LangGraph N/A N/A
AutoGen N/A N/A
CrewAI N/A N/A
LangChain
OpenAI
Anthropic Claude N/A N/A
AWS Bedrock N/A N/A
GCP Vertex AI N/A N/A
Azure OpenAI N/A N/A

Pricing comparison: Azumo vs SoftKraft

Criterion Azumo SoftKraft
Minimum engagement Not disclosed Not disclosed
Engagement models Dedicated team, Retainer, Time and materials Fixed project, Dedicated team
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: Azumo vs SoftKraft

Dimension Azumo SoftKraft
Best company size Startup to mid-market Startup to mid-market
Best industries Fintech, Healthcare, SaaS SaaS, Fintech, Healthcare
Best use cases Fine-tuned LLM agents for customer support automation, Document summarisation and risk analysis agents Python-based AI agent development with TDD validation, RAG systems with tested retrieval accuracy
Typical project type Dedicated team Fixed project

Azumo vs SoftKraft: pros and cons

Azumo
+ Nearshore Latin America delivery — same time zones as US clients
+ SOC 2 compliance for private model tuning and sensitive data
+ Focused LLM fine-tuning approach avoids over-engineering
+ Silicon Valley engineering practices at nearshore rates
- Focused agent approach — less suited to open-ended multi-agent architecture
- No fixed-price project model
SoftKraft
+ TDD approach reduces hallucination risk and improves reliability
+ Strong Python and FastAPI engineering depth
+ European time zones — easy for EU clients
+ Competitive rates compared to US-based boutiques
- Poland-based — time zone gap for US West Coast real-time collaboration
- Less established for very large multi-agent architectures

Who should choose Azumo?

Azumo is the right choice for uS product teams seeking nearshore AI engineering with LLM fine-tuning expertise and SOC 2 compliance.

Nearshore Latin America delivery with US time zones; SOC 2 compliant private model tuning. Minimum engagement starts at Not disclosed. Works best with clients in Fintech, Healthcare, SaaS, E-commerce, Enterprise.

Who should choose SoftKraft?

SoftKraft is the right choice for saaS and tech companies that prioritise code quality and test-driven validation for AI agent deployments.

Test-driven development (TDD) methodology applied to AI agents — validated before production deployment. Minimum engagement starts at Not disclosed. Works best with clients in SaaS, Fintech, Healthcare, E-commerce, Technology.

Decision matrix: Azumo vs SoftKraft

Your situation Recommended choice
You need production-ready AI agents with full delivery ownership Azumo
You have a budget over $200K and need enterprise-scale delivery Consider EPAM Systems for very large programmes
You need a fixed-price project with a well-defined scope SoftKraft
You need AI engineers assembled within days Consider Turing for speed of team assembly
You need healthcare AI with compliance expertise Consider SoftServe for deep healthcare AI
Your budget is under $30K Consider SoluLab ($15K) or Appinventiv ($20K)
You want multi-agent LangGraph architecture Consider Tensorway or Leewayhertz
You need RAG over proprietary knowledge bases SoftKraft

Use case fit: Azumo vs SoftKraft

Use case Azumo fit SoftKraft fit Winner
Autonomous AI agents Limited Limited Both equally
RAG knowledge systems Limited Strong SoftKraft
Enterprise compliance AI Limited Limited Both equally
Healthcare AI Limited Limited Both equally
Startup AI MVP Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: Azumo vs SoftKraft

Azumo (4.4/5) is the stronger overall choice for most AI agent development projects in 2026. Nearshore Latin America delivery with US time zones; SOC 2 compliant private model tuning. It is best for uS product teams seeking nearshore AI engineering with LLM fine-tuning expertise and SOC 2 compliance.

SoftKraft (4.3/5) is the better choice when saaS and tech companies that prioritise code quality and test-driven validation for AI agent deployments. If your situation matches those criteria, SoftKraft is a competitive option.

Related comparisons

Azumo vs SoftKraft FAQ

Is Azumo better than SoftKraft?

Azumo (4.4/5) scores higher overall, but "better" depends on your use case. Azumo is better for uS product teams seeking nearshore AI engineering with LLM fine-tuning expertise and SOC 2 compliance. SoftKraft is better for saaS and tech companies that prioritise code quality and test-driven validation for AI agent deployments.

How do Azumo and SoftKraft differ in pricing?

Azumo uses dedicated team, retainer, t&m pricing with a minimum engagement of Not disclosed. SoftKraft uses fixed project, dedicated team pricing with a minimum engagement of Not disclosed. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Azumo or SoftKraft?

Neither is the better enterprise choice due to team size and compliance capabilities. For large-scale enterprise AI programmes with multi-region requirements, EPAM Systems (10,000+ engineers) is worth evaluating alongside both firms.

What are the main differences between Azumo and SoftKraft?

Azumo's primary differentiator is: nearshore latin america delivery with us time zones; soc 2 compliant private model tuning. SoftKraft's primary differentiator is: test-driven development (tdd) methodology applied to ai agents — validated before production deployment. They also differ in team size (201–500 vs 51–200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, Healthcare vs SaaS, Fintech).

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