Vstorm vs Markovate: full comparison for 2026
Last updated: August 2026
Quick verdict
Vstorm (4.4/5) edges ahead of Markovate (4.0/5) overall. Vstorm is the better choice for buyers wanting a genuinely small agency whose entire practice is agentic AI, with an independently verifiable AAIF credential.. Markovate is the stronger option for buyers wanting an agency with pre-agentic LLM development pedigree rather than a recent AI-agent-only entrant.. The right choice depends on your project size, budget, and required tech stack.
Vstorm vs Markovate: head-to-head summary
| Criterion | Vstorm | Markovate |
|---|---|---|
| Founded | 2017 | 2015 |
| HQ | Wrocław, Poland | San Francisco, CA, USA |
| Team size | 11–50 | 51–200 |
| Rating | 4.4 / 5 | 4.0 / 5 |
| Best for | Buyers wanting a genuinely small agency whose entire practice is agentic AI, with an independently verifiable AAIF credential. | Buyers wanting an agency with pre-agentic LLM development pedigree rather than a recent AI-agent-only entrant. |
| Pricing model | Fixed project, dedicated team | Fixed project, dedicated team |
| Min. engagement | Not published | $25K (per company website; independently unverifiable) |
| Primary tech stack | Python, LangChain, LangGraph | Python, LangChain, OpenAI |
| Industries served | Technology & SaaS, Financial Services, Retail & E-commerce | Technology & SaaS, Retail & E-commerce, Healthcare, Financial Services |
Vstorm vs Markovate: overview
Vstorm
Vstorm is a Wrocław, Poland-based boutique agency founded in October 2017 by CEO Antoni Kozelski and VP Bartosz Gonczarek, with a compact team of 11–50 people, operating exclusively as an agentic AI engineering consultancy. It was the first AI consultancy accepted into the Agentic AI Foundation (AAIF) and publishes its own TriStorm delivery framework. As an 11–50 person shop, it sits at the smaller end of this list, giving buyers direct access to the same senior engineers who scope the work.
Markovate
Markovate is a generative-AI and LLM specialist agency founded in 2015 and headquartered in San Francisco, with additional offices in Toronto and Gurugram and a team of 51–200 people. Its core specialization in LLM development and prompt engineering predates the current agentic wave, giving its agent work a longer internal track record than agencies that only recently added agentic AI to their service list.
Services and capabilities: Vstorm vs Markovate
| Capability | Vstorm | Markovate |
|---|---|---|
| Multi-agent orchestration | ✓ | ✓ |
| RAG / knowledge integration | ✓ | ✓ |
| Workflow & systems integration | ✗ | ✗ |
| Coding agents | ✗ | ✓ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Vstorm vs Markovate
| Framework / platform | Vstorm | Markovate |
|---|---|---|
| LangChain | ✓ | ✓ |
| LangGraph | ✓ | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | ✓ | ✓ |
| Anthropic Claude | ✓ | ✓ |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Vstorm vs Markovate
| Criterion | Vstorm | Markovate |
|---|---|---|
| Minimum engagement | Not published | $25K (per company website; independently unverifiable) |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: Vstorm vs Markovate
| Dimension | Vstorm | Markovate |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology & SaaS, Financial Services, Retail & E-commerce | Technology & SaaS, Retail & E-commerce, Healthcare |
| Best use cases | Buyers wanting a vendor whose entire business is agentic AI, at a small-agency scale, Teams wanting standardized AGENTS.md documentation baked into delivery | Adding autonomous agent capability to an existing LLM-powered product, Building coding agents that plug into an existing dev pipeline |
| Typical project type | Fixed project | Fixed project |
Vstorm vs Markovate: pros and cons
| Vstorm | |
|---|---|
| + | First AI consultancy formally accepted into the Agentic AI Foundation, an independently verifiable credential |
| + | Genuinely boutique scale (11–50 people) means direct access to the engineers who scope the work |
| + | Named proprietary delivery framework (TriStorm) gives buyers a concrete methodology to evaluate |
| + | Public commitment to AGENTS.md documentation on every project, easing long-term maintainability |
| - | 11–50 person team caps capacity for large or highly parallel programs |
| - | Founded relatively recently (October 2017) relative to some longer-tenured agencies on this list |
| - | Minimum engagement figures are not published, requiring direct sales contact for early budgeting |
| Markovate | |
|---|---|
| + | Deep prior specialization in LLM development and prompt engineering predates its agent work |
| + | Multi-hub delivery (San Francisco, Toronto, Gurugram) balances US client proximity with offshore cost |
| + | Product-development background means agent work is usually shipped inside a real product |
| + | Mid-size team keeps senior engineers hands-on rather than delegated to junior staff |
| - | No large-enterprise compliance certifications comparable to the largest firms on this list |
| - | Public case studies skew toward smaller product companies rather than regulated enterprises |
| - | 51–200 headcount caps capacity for simultaneous large multi-team engagements |
Who should choose Vstorm?
Vstorm is the right choice for buyers wanting a genuinely small agency whose entire practice is agentic AI, with an independently verifiable AAIF credential..
First AI consultancy accepted into the Agentic AI Foundation, at a genuinely boutique (11–50 person) agency scale.. Minimum engagement starts at Not published. Works best with clients in Technology & SaaS, Financial Services, Retail & E-commerce.
Who should choose Markovate?
Markovate is the right choice for buyers wanting an agency with pre-agentic LLM development pedigree rather than a recent AI-agent-only entrant..
LLM development and prompt engineering specialization that predates its agentic AI offering, giving agent work a longer internal track record.. Minimum engagement starts at $25K (per company website; independently unverifiable). Works best with clients in Technology & SaaS, Retail & E-commerce, Healthcare, Financial Services.
Decision matrix: Vstorm vs Markovate
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Vstorm |
| You need a large dedicated team for an ongoing programme | Vstorm |
| Your budget is at the lower end | Compare: Vstorm (Not published) vs Markovate ($25K (per company website; independently unverifiable)) |
| You need specialist depth in a specific vertical | Markovate |
| 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: Vstorm vs Markovate
| Use case | Vstorm fit | Markovate fit | Winner |
|---|---|---|---|
| Buyers wanting a vendor whose entire business is agentic AI, at a small-agency scale | Strong | Strong | Both equally |
| Teams wanting standardized AGENTS.md documentation baked into delivery | Strong | Limited | Vstorm |
| Adding autonomous agent capability to an existing LLM-powered product | Limited | Strong | Markovate |
| Building coding agents that plug into an existing dev pipeline | Limited | Strong | Markovate |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Vstorm vs Markovate
Vstorm (4.4/5) is the stronger overall choice for most AI Agent Development projects. First AI consultancy accepted into the Agentic AI Foundation, at a genuinely boutique (11–50 person) agency scale.. It is best for buyers wanting a genuinely small agency whose entire practice is agentic AI, with an independently verifiable AAIF credential..
Markovate (4.0/5) is the better choice when buyers wanting an agency with pre-agentic LLM development pedigree rather than a recent AI-agent-only entrant.. If your situation matches those criteria, Markovate is a competitive option.
Related comparisons
Vstorm vs Markovate FAQ
Is Vstorm better than Markovate?
Vstorm (4.4/5) scores higher overall, but "better" depends on your use case. Vstorm is better for buyers wanting a genuinely small agency whose entire practice is agentic AI, with an independently verifiable AAIF credential.. Markovate is better for buyers wanting an agency with pre-agentic LLM development pedigree rather than a recent AI-agent-only entrant..
How do Vstorm and Markovate differ in pricing?
Vstorm uses fixed project, dedicated team pricing with a minimum engagement of Not published. Markovate uses fixed project, dedicated team pricing with a minimum engagement of $25K (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: Vstorm or Markovate?
Markovate is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between Vstorm and Markovate?
Vstorm's primary differentiator is: first ai consultancy accepted into the agentic ai foundation, at a genuinely boutique (11–50 person) agency scale.. Markovate's primary differentiator is: llm development and prompt engineering specialization that predates its agentic ai offering, giving agent work a longer internal track record.. They also differ in team size (11–50 vs 51–200), minimum engagement (Not published vs $25K (per company website; independently unverifiable)), and primary industries served (Technology & SaaS, Financial Services vs Technology & SaaS, Retail & E-commerce).
Last reviewed: August 2026. Verify all details directly with each agency before making a decision.