Gradient Labs vs onepoint: full comparison for 2026
Last updated: August 2026
Quick verdict
Gradient Labs (4.3/5) edges ahead of onepoint (3.7/5) overall. Gradient Labs is the better choice for uK and European financial-services firms wanting a narrow, deeply regulatory-fluent autonomous customer-operations agent.. onepoint is the stronger option for french and EU enterprises wanting agentic AI from a mid-size, founder-led French IT services firm.. The right choice depends on your project size, budget, and required tech stack.
Gradient Labs vs onepoint: head-to-head summary
| Criterion | Gradient Labs | onepoint |
|---|---|---|
| Founded | 2023 | 2002 |
| HQ | London, UK | Paris, France |
| Team size | 11–50 | 3,700+ |
| Rating | 4.3 / 5 | 3.7 / 5 |
| Best for | UK and European financial-services firms wanting a narrow, deeply regulatory-fluent autonomous customer-operations agent. | French and EU enterprises wanting agentic AI from a mid-size, founder-led French IT services firm. |
| Pricing model | Retainer, platform licensing | Fixed project, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, LangChain, OpenAI | Python, LangChain, AWS |
| Industries served | Financial Services, Banking | Financial Services, Government & Public Sector, Manufacturing, Technology & SaaS |
Gradient Labs vs onepoint: overview
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.
onepoint
onepoint is a French IT services company founded in 2002 by David Layani, headquartered in a 4,000 sqm building in Paris's 16th arrondissement, with roughly 3,700 employees. It operates across application development, infrastructure support, and advisory services, applying that broad enterprise practice to agentic AI work as it emerges. As a French-headquartered entity, it offers EU procurement teams a domestic legal entity at a mid-size scale between the largest global SIs and the smaller boutiques on this list.
Services and capabilities: Gradient Labs vs onepoint
| Capability | Gradient Labs | onepoint |
|---|---|---|
| Multi-agent orchestration | ✗ | ✗ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✗ | ✗ |
| Monitoring & anomaly detection | ✓ | ✗ |
| Customer-facing agents | ✓ | ✗ |
Tech stack comparison: Gradient Labs vs onepoint
| Framework / platform | Gradient Labs | onepoint |
|---|---|---|
| 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: Gradient Labs vs onepoint
| Criterion | Gradient Labs | onepoint |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Retainer | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Gradient Labs vs onepoint
| Dimension | Gradient Labs | onepoint |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial Services, Banking | Financial Services, Government & Public Sector, Manufacturing |
| Best use cases | 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 | French and EU enterprises wanting agentic AI from a mid-size, founder-led IT services firm, Buyers wanting a scale between the largest global SIs and the smallest boutiques |
| Typical project type | Retainer | Fixed project |
Gradient Labs vs onepoint: pros and cons
| 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 |
| onepoint | |
|---|---|
| + | Fully EU-domiciled (France), simplifying GDPR compliance |
| + | Founder-led (David Layani) continuity since founding in 2002 |
| + | 3,700+ employees gives a scale between boutique and global-SI capacity |
| + | Broad existing practice (application development, infrastructure, advisory) supports agentic work in context |
| - | Agentic AI is a newer addition to a broad IT services portfolio, not the sole focus |
| - | Minimum engagement figures are not published, requiring direct sales contact for early budgeting |
| - | Fewer named agentic-specific case studies than AI-first specialist competitors |
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.
Who should choose onepoint?
onepoint is the right choice for french and EU enterprises wanting agentic AI from a mid-size, founder-led French IT services firm..
A founder-led (David Layani), French-headquartered mid-size IT services firm, sized between the large global SIs and boutique specialists.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Government & Public Sector, Manufacturing, Technology & SaaS.
Decision matrix: Gradient Labs vs onepoint
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | onepoint |
| You need a large dedicated team for an ongoing programme | onepoint |
| Your budget is at the lower end | Compare: Gradient Labs (Not published) vs onepoint (Not published) |
| You need specialist depth in a specific vertical | onepoint |
| 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: Gradient Labs vs onepoint
| Use case | Gradient Labs fit | onepoint fit | Winner |
|---|---|---|---|
| Regulated financial-services firms wanting a purpose-built autonomous customer-operations agent | Strong | Limited | Gradient Labs |
| Banking or insurance clients needing compliance-fluent agent behavior out of the box | Strong | Limited | Gradient Labs |
| French and EU enterprises wanting agentic AI from a mid-size, founder-led IT services firm | Limited | Strong | onepoint |
| Buyers wanting a scale between the largest global SIs and the smallest boutiques | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Gradient Labs vs onepoint
Gradient Labs (4.3/5) is the stronger overall choice for most AI Agent Development projects. Otto, a named production agent for regulated financial-services customer operations, built by founders with direct Monzo banking-compliance experience.. It is best for uK and European financial-services firms wanting a narrow, deeply regulatory-fluent autonomous customer-operations agent..
onepoint (3.7/5) is the better choice when french and EU enterprises wanting agentic AI from a mid-size, founder-led French IT services firm.. If your situation matches those criteria, onepoint is a competitive option.
Related comparisons
Gradient Labs vs onepoint FAQ
Is Gradient Labs better than onepoint?
Gradient Labs (4.3/5) scores higher overall, but "better" depends on your use case. Gradient Labs is better for uK and European financial-services firms wanting a narrow, deeply regulatory-fluent autonomous customer-operations agent.. onepoint is better for french and EU enterprises wanting agentic AI from a mid-size, founder-led French IT services firm..
How do Gradient Labs and onepoint differ in pricing?
Gradient Labs uses retainer, platform licensing pricing with a minimum engagement of Not published. onepoint uses fixed project, dedicated team 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: Gradient Labs or onepoint?
onepoint 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 Gradient Labs and onepoint?
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.. onepoint's primary differentiator is: a founder-led (david layani), french-headquartered mid-size it services firm, sized between the large global sis and boutique specialists.. They also differ in team size (11–50 vs 3,700+), minimum engagement (Not published vs Not published), and primary industries served (Financial Services, Banking vs Financial Services, Government & Public Sector).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.