BotsCrew vs SoftKraft: full comparison for 2026
Quick verdict
BotsCrew (4.2/5) edges ahead of SoftKraft (4.0/5) overall. BotsCrew is the better choice for SMBs wanting a dedicated conversational generative AI partner. SoftKraft is the stronger option for startups on tight budgets needing generative AI MVPs. The right choice depends on your project size, budget, and required tech stack.
BotsCrew vs SoftKraft: head-to-head summary
| Criterion | BotsCrew | SoftKraft |
|---|---|---|
| Founded | 2016 | 2015 |
| HQ | London, United Kingdom | Bielsko-Biala, Poland |
| Team size | 51-200 | 11-50 |
| Rating | 4.2 / 5 | 4.0 / 5 |
| Primary differentiator | Nine years of conversational AI focus predating its generative AI pivot | Small dedicated team priced for startup budgets, not enterprise rates |
| Pricing model | Fixed project or dedicated team | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, OpenAI API, LangChain | Python, OpenAI API, PostgreSQL |
| Industries served | Retail & e-commerce, Healthcare, Financial services | Fintech, SaaS, Healthtech |
BotsCrew vs SoftKraft: overview
BotsCrew
BotsCrew has built custom AI chatbots since 2016, operating out of London with additional teams in Lviv, Adelaide, and San Francisco. Public employee figures range from roughly 60 to 200, likely reflecting different treatment of contractor staff across sources. Its work shifted naturally toward generative AI as large language models made conversational agents more capable, building on nine years of chatbot-specific delivery rather than starting from scratch.
SoftKraft
SoftKraft was founded in 2015 by CEO Marek Petrykowski and CTO Blazej Kosmowski, running a lean 11-50 person team from Bielsko-Biala, Poland. Around 70% of its clients are North American despite the delivery team sitting in Poland. The firm's positioning centers on data-driven software and generative AI built specifically for startups and small-to-mid-sized companies, not enterprise accounts.
Services and capabilities: BotsCrew vs SoftKraft
| Capability | BotsCrew | SoftKraft |
|---|---|---|
| Generative AI | ✓ | ✓ |
| Machine learning | ✗ | ✗ |
| AI agents | ✓ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✓ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: BotsCrew vs SoftKraft
| Framework / platform | BotsCrew | SoftKraft |
|---|---|---|
| Python | ✓ | ✓ |
| OpenAI API | ✓ | ✓ |
| PyTorch | N/A | N/A |
| LangChain | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: BotsCrew vs SoftKraft
| Criterion | BotsCrew | SoftKraft |
|---|---|---|
| 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: BotsCrew vs SoftKraft
| Dimension | BotsCrew | SoftKraft |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail & e-commerce, Healthcare, Financial services | Fintech, SaaS, Healthtech |
| Best use cases | Replacing a rules-based chatbot with a generative AI-backed conversational agent., Adding customer support automation without hiring an internal generative AI team. | Building a generative AI-powered MVP for a pre-seed or seed-stage startup., Getting generative AI and data engineering handled by one small, accountable team. |
| Typical project type | Fixed project | Fixed project |
BotsCrew vs SoftKraft: pros and cons
| BotsCrew | |
|---|---|
| + | Nearly a decade of conversational AI specialization, longer than most competitors claiming the same focus. |
| + | Team spans four countries, supporting near round-the-clock delivery. |
| + | Pricing tends to be more accessible to SMBs than enterprise-focused AI consultancies. |
| + | Natural progression path from chatbot work into broader generative AI agent projects. |
| - | Reported headcount varies by roughly 3x across public sources |
| - | Narrower specialty than agencies offering full-stack AI and data engineering |
| SoftKraft | |
|---|---|
| + | Smaller team size keeps overhead, and likely cost, below mid-size and enterprise agencies. |
| + | 70% North American client base shows the team has adapted to US buyer expectations from Poland. |
| + | Founder-led leadership stays close to delivery rather than purely sales. |
| + | Startup and SME focus means scope and pricing fit smaller budgets from the outset. |
| - | Team of 11-50 limits capacity to a handful of concurrent projects |
| - | Less public case-study history than agencies with a decade-plus track record |
Who should choose BotsCrew?
A typical fit: replacing a rules-based chatbot with a generative AI-backed conversational agent.
Nine years of conversational AI focus predating its generative AI pivot. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Healthcare, Financial services.
Who should choose SoftKraft?
A typical fit: building a generative AI-powered MVP for a pre-seed or seed-stage startup.
Small dedicated team priced for startup budgets, not enterprise rates. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, SaaS, Healthtech.
Decision matrix: BotsCrew vs SoftKraft
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | BotsCrew |
| You need a large dedicated team for an ongoing programme | BotsCrew |
| Your budget is at the lower end | Compare: BotsCrew (Not disclosed) vs SoftKraft (Not disclosed) |
| You need specialist depth in a specific vertical | BotsCrew |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | SoftKraft |
Use case fit: BotsCrew vs SoftKraft
| Use case | BotsCrew fit | SoftKraft fit | Winner |
|---|---|---|---|
| Replacing a rules-based chatbot with a generative AI-backed conversational agent. | Strong | Limited | BotsCrew |
| Adding customer support automation without hiring an internal generative AI team. | Strong | Limited | BotsCrew |
| Building a generative AI-powered MVP for a pre-seed or seed-stage startup. | Limited | Strong | SoftKraft |
| Getting generative AI and data engineering handled by one small, accountable team. | Limited | Strong | SoftKraft |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: BotsCrew vs SoftKraft
BotsCrew (4.2/5) is the stronger overall choice for most Generative AI Development projects. Nine years of conversational AI focus predating its generative AI pivot.
SoftKraft (4.0/5) is worth a look if you need getting generative AI and data engineering handled by one small, accountable team. If your situation matches that, SoftKraft is a competitive option.
Related comparisons
BotsCrew vs SoftKraft FAQ
Is BotsCrew better than SoftKraft?
BotsCrew (4.2/5) scores higher overall, but "better" depends on your use case. BotsCrew's strongest advantage: nearly a decade of conversational AI specialization, longer than most competitors claiming the same focus. SoftKraft's strongest advantage: smaller team size keeps overhead, and likely cost, below mid-size and enterprise agencies.
How do BotsCrew and SoftKraft differ in pricing?
BotsCrew uses fixed project or dedicated team pricing. SoftKraft 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: BotsCrew or SoftKraft?
BotsCrew 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 BotsCrew and SoftKraft?
BotsCrew's primary differentiator is: nine years of conversational AI focus predating its generative AI pivot. SoftKraft's primary differentiator is: small dedicated team priced for startup budgets, not enterprise rates. They also differ in team size (51-200 vs 11-50), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Retail & e-commerce, Healthcare vs Fintech, SaaS).
Verify all details directly with each company before making a decision.