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Founded

2023

Location

London, United Kingdom

Funding

$13M Series A

Gradient Labs: AI Customer Support Agents for Financial Services

**Gradient Labs** builds finance-grade AI agents that resolve complex, regulated customer support workflows end to end—covering fraud, disputes, KYC/AML, scam investigations, and payments issues. The platform integrates with existing support stacks, emphasizes security and auditability, and is purpose-built for regulated industries.

  • Company: Gradient Labs
  • Website: [gradient-labs.ai](https://gradient-labs.ai)
  • Headquarters: London, UK
  • Founded: 2023 by **Dimitri Masin**, **Neal Lathia**, and **Danai Antoniou** (ex-Monzo)
  • Funding: **$13M Series A**
  • Notable customers: Zego, Yonder, Plum, Sling Money, Lendable, Nala, Penfold (customers referenced on [LinkedIn](https://www.linkedin.com/company/gradientlabs) and in the [Zego case study](https://gradient-labs.ai/customers/zego))
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    What Gradient Labs Does

  • Builds **AI agents for regulated customer operations** in banking, fintech, payments, and insurance.
  • Handles **multi-step, compliance-heavy workflows** (e.g., fraud and scam investigations, disputes/chargebacks, KYC/AML).
  • **Integrates with major CRMs and help desks**, slotting into existing tooling to resolve cases autonomously while escalating edge cases to humans.
  • Designed for **banking-grade compliance** with robust security, auditability, and QA controls.
  • Explore the platform on the [homepage](https://gradient-labs.ai) and [product overview](https://gradient-labs.ai).

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    Key Capabilities

  • End-to-end case resolution for regulated workflows with **clear audit trails** and **consistent policy adherence**.
  • **Fast implementation** and integrations with enterprise support stacks.
  • **Security and compliance** features: SOC 2, SSO, role-based permissions (RBAC), and comprehensive **audit logs** .
  • Built on modern LLMs and **workflow orchestration** to reliably execute multi-step processes:
  • LLMs: public references to **Anthropic Claude**
  • Orchestration: **Temporal** for reliable workflow execution
  • ---

    Who It’s For

  • **Banks, fintechs, payments companies, and insurers** needing automated resolution for regulated customer operations.
  • **CX, risk, and operations leaders** who require compliance, auditability, and measurable time-to-resolution improvements without adding headcount.
  • Teams managing **fraud/scam cases, disputes/chargebacks, KYC/AML checks, and high-risk support workflows**.
  • ---

    Common Use Cases

  • Fraud and scam investigations: evidence collection, identity verification, customer communications, and outcome documentation.
  • Disputes and chargebacks: claim intake, transaction metadata checks, scheme coordination, and outcome issuance.
  • KYC/AML support: guided document collection, verification, and **edge-case routing with full audit trails**.
  • Card and payments issues: refunds, failed transfers, locked accounts, and card replacements.
  • Policy and compliance queries: consistent, policy-aligned responses.
  • General triage and resolution across **high-risk workflows**.
  • Learn more in the product content and the article on [Vertical AI in finance](https://gradient-labs.ai/blog/why-vertical-ai-beats-general-purpose-ai-in-financial-services).

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    Integrations

  • Help desks and CRMs: **Zendesk, Intercom, Freshworks, Salesforce**
  • Workflow orchestration: **Temporal**
  • LLMs: **Anthropic Claude**
  • ---

    Security and Compliance

  • **SOC 2**, **SSO**, **RBAC**, and **comprehensive audit logs** highlighted across site materials .
  • Workflow QA and audit features aligned to **regulated financial operations**.
  • Purpose-built for **banking-grade governance** and data protection.
  • ---

    Evidence and Impact

  • Zego results: **CSAT improved from 61% to 77%** after rollout of Gradient agents .
  • Industry traction: customers include notable fintechs and insurers (see [LinkedIn](https://www.linkedin.com/company/gradientlabs) and [Zego case study](https://gradient-labs.ai/customers/zego)).
  • Expansion and funding: **US market entry** following strong European growth; **$13M Series A** to scale platform and presence .
  • ---

    User Sentiment Snapshot

  • Pros:
  • **Fast setup** and early value realization; responsive support team .
  • Credible traction in regulated fintech noted in community coverage .
  • **Strong security posture** emphasized across listings and site copy .
  • Cons:
  • **Limited third-party reviews** to date; few in-depth testimonials on G2 and Capterra .
  • Reddit mentions are news-style, not hands-on reviews, so direct user feedback remains sparse.
  • Note: As more verified reviews appear, revisit the sentiment summary.

    ---

    Differentiators

  • Purpose-built for **regulated financial workflows** with compliance-first design.
  • **End-to-end automation** that reduces handle times and escalates only high-complexity edge cases.
  • **Deep security and auditability** (SOC 2, SSO, RBAC, audit logs).
  • **Reliable orchestration** for multi-step operations using technologies like **Temporal**; proven outcomes such as the Zego **CSAT lift**.
  • ---

    Getting Started and Trials

  • Terms indicate availability of a **free trial** .
  • The team promotes a performance-based **$10K AI Customer Service Challenge** to benchmark results .
  • ---

    Related Reading

  • Product and overview: [Gradient Labs homepage](https://gradient-labs.ai)
  • Case study: [Zego customer story](https://gradient-labs.ai/customers/zego)
  • Thought leadership: [Why Vertical AI beats general-purpose AI in financial services](https://gradient-labs.ai/blog/why-vertical-ai-beats-general-purpose-ai-in-financial-services)
  • Technology references: [Anthropic Claude customer story](https://www.claude.com/customers/gradient-labs), [Temporal case study](https://temporal.io/resources/case-studies/gradient-labs-uses-ai-agents-to-resolve-complex-customer-issues)
  • Company: [LinkedIn](https://www.linkedin.com/company/gradientlabs), [Crunchbase](https://www.crunchbase.com/organization/gradient-labs-6ea5), [Series A announcement](https://gradient-labs.ai/blog/series-a-announcement)
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