Xomnia vs Gradient Labs: full comparison for 2026
Last updated: August 2026
Quick verdict
Xomnia (4.3/5) edges ahead of Gradient Labs (4.3/5) overall. Xomnia is the better choice for northwest European enterprises wanting a data-and-AI consultancy with a recent acquisition-driven scale-up in specialist headcount.. Gradient Labs is the stronger option for uK and European financial-services firms wanting a narrow, deeply regulatory-fluent autonomous customer-operations agent.. The right choice depends on your project size, budget, and required tech stack.
Xomnia vs Gradient Labs: head-to-head summary
| Criterion | Xomnia | Gradient Labs |
|---|---|---|
| Founded | 2013 | 2023 |
| HQ | Amsterdam, Netherlands | London, UK |
| Team size | 51–200 | 11–50 |
| Rating | 4.3 / 5 | 4.3 / 5 |
| Best for | Northwest European enterprises wanting a data-and-AI consultancy with a recent acquisition-driven scale-up in specialist headcount. | UK and European financial-services firms wanting a narrow, deeply regulatory-fluent autonomous customer-operations agent. |
| Pricing model | Fixed project, dedicated team | Retainer, platform licensing |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, LangChain, AWS | Python, LangChain, OpenAI |
| Industries served | Manufacturing, Financial Services, Government & Public Sector, Technology & SaaS | Financial Services, Banking |
Xomnia vs Gradient Labs: overview
Xomnia
Xomnia is a data and AI consultancy founded in 2013 and headquartered in Amsterdam, the Netherlands, with roughly 85 employees before its June 2025 acquisition of Aurai (a 50-person data and AI team founded by Lars Kieftenburg), bringing its combined headcount to 135+ specialists. It serves manufacturing, finance, telecommunications, energy, and government clients across Northwest Europe, positioning itself explicitly as the region's leading data and AI consultancy. As a Dutch company, all client engagements sit fully within EU jurisdiction and GDPR by default.
Gradient Labs
Gradient Labs is a London-based startup founded in 2023 by former Monzo Bank employees Dimitri Masin, Neal Lathia, and Danai Antoniou, with roughly 46 employees and $13M+ in Series A funding at a $60M valuation. Its flagship product, Otto, is an autonomous agent purpose-built for customer operations in regulated financial services, engineered to resolve complex queries end-to-end while maintaining compliance, reportedly achieving up to a 90% resolution rate with a 98% QA pass rate. Its narrow, financial-services-specific focus and UK domicile make it a fit for buyers wanting deep regulatory fluency over broad horizontal agent capability.
Services and capabilities: Xomnia vs Gradient Labs
| Capability | Xomnia | Gradient Labs |
|---|---|---|
| Multi-agent orchestration | ✗ | ✗ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✗ | ✗ |
| Monitoring & anomaly detection | ✗ | ✓ |
| Customer-facing agents | ✗ | ✓ |
Tech stack comparison: Xomnia vs Gradient Labs
| Framework / platform | Xomnia | Gradient Labs |
|---|---|---|
| LangChain | ✓ | ✓ |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | N/A | ✓ |
| Anthropic Claude | N/A | ✓ |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Xomnia vs Gradient Labs
| Criterion | Xomnia | Gradient Labs |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Dedicated team | Retainer |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Xomnia vs Gradient Labs
| Dimension | Xomnia | Gradient Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Financial Services, Government & Public Sector | Financial Services, Banking |
| Best use cases | Government or energy-sector clients needing a Northwest-Europe-based AI consultancy, Manufacturing or telecom enterprises wanting data pipeline work bundled with agentic AI | Regulated financial-services firms wanting a purpose-built autonomous customer-operations agent, Banking or insurance clients needing compliance-fluent agent behavior out of the box |
| Typical project type | Fixed project | Retainer |
Xomnia vs Gradient Labs: pros and cons
| Xomnia | |
|---|---|
| + | Fully EU-domiciled (Netherlands), with all engagements sitting inside GDPR jurisdiction by default |
| + | 135+ specialists post-acquisition gives it meaningful bench depth for a boutique-scale firm |
| + | Named delivery experience across manufacturing, finance, telecom, energy, and government |
| + | Over a decade of data and AI consultancy history since 2013 |
| - | Recent acquisition (2025) means combined-team integration is still relatively new |
| - | Minimum engagement figures are not published, requiring direct sales contact for early budgeting |
| - | Agentic AI is one part of a broader data-and-AI consultancy practice, not the sole focus |
| Gradient Labs | |
|---|---|
| + | Founding team's direct experience at Monzo (a regulated UK bank) feeds real compliance fluency into Otto |
| + | Named, benchmarked production agent with disclosed resolution-rate and QA-pass-rate figures |
| + | Venture-backed ($13M+ Series A) with runway to keep investing in the product |
| + | UK domicile with a narrow, deep focus on regulated financial services specifically |
| - | Very narrow focus (financial-services customer operations) — not a fit for other verticals or broader custom agent builds |
| - | Small team (~46 employees) limits capacity and account-management bandwidth |
| - | As a product company rather than a services firm, engagement is closer to platform licensing than bespoke development |
Who should choose Xomnia?
Xomnia is the right choice for northwest European enterprises wanting a data-and-AI consultancy with a recent acquisition-driven scale-up in specialist headcount..
A 2025 acquisition (Aurai) grew its specialist headcount to 135+, positioning it as Northwest Europe's leading data and AI consultancy.. Minimum engagement starts at Not published. Works best with clients in Manufacturing, Financial Services, Government & Public Sector, Technology & SaaS.
Who should choose Gradient Labs?
Gradient Labs is the right choice for uK and European financial-services firms wanting a narrow, deeply regulatory-fluent autonomous customer-operations agent..
Otto, a named production agent for regulated financial-services customer operations, built by founders with direct Monzo banking-compliance experience.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Banking.
Decision matrix: Xomnia vs Gradient Labs
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Xomnia |
| You need a large dedicated team for an ongoing programme | Xomnia |
| Your budget is at the lower end | Compare: Xomnia (Not published) vs Gradient Labs (Not published) |
| You need specialist depth in a specific vertical | Xomnia |
| 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: Xomnia vs Gradient Labs
| Use case | Xomnia fit | Gradient Labs fit | Winner |
|---|---|---|---|
| Government or energy-sector clients needing a Northwest-Europe-based AI consultancy | Strong | Limited | Xomnia |
| Manufacturing or telecom enterprises wanting data pipeline work bundled with agentic AI | Strong | Limited | Xomnia |
| Regulated financial-services firms wanting a purpose-built autonomous customer-operations agent | Limited | Strong | Gradient Labs |
| Banking or insurance clients needing compliance-fluent agent behavior out of the box | Limited | Strong | Gradient Labs |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Xomnia vs Gradient Labs
Xomnia (4.3/5) is the stronger overall choice for most AI Agent Development projects. A 2025 acquisition (Aurai) grew its specialist headcount to 135+, positioning it as Northwest Europe's leading data and AI consultancy.. It is best for northwest European enterprises wanting a data-and-AI consultancy with a recent acquisition-driven scale-up in specialist headcount..
Gradient Labs (4.3/5) is the better choice when uK and European financial-services firms wanting a narrow, deeply regulatory-fluent autonomous customer-operations agent.. If your situation matches those criteria, Gradient Labs is a competitive option.
Related comparisons
Xomnia vs Gradient Labs FAQ
Is Xomnia better than Gradient Labs?
Xomnia (4.3/5) scores higher overall, but "better" depends on your use case. Xomnia is better for northwest European enterprises wanting a data-and-AI consultancy with a recent acquisition-driven scale-up in specialist headcount.. Gradient Labs is better for uK and European financial-services firms wanting a narrow, deeply regulatory-fluent autonomous customer-operations agent..
How do Xomnia and Gradient Labs differ in pricing?
Xomnia uses fixed project, dedicated team pricing with a minimum engagement of Not published. Gradient Labs uses retainer, platform licensing 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: Xomnia or Gradient Labs?
Xomnia 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 Xomnia and Gradient Labs?
Xomnia's primary differentiator is: a 2025 acquisition (aurai) grew its specialist headcount to 135+, positioning it as northwest europe's leading data and ai consultancy.. Gradient Labs's primary differentiator is: otto, a named production agent for regulated financial-services customer operations, built by founders with direct monzo banking-compliance experience.. They also differ in team size (51–200 vs 11–50), minimum engagement (Not published vs Not published), and primary industries served (Manufacturing, Financial Services vs Financial Services, Banking).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.