Gradient Labs
Gradient Labs is an AI-native customer operations platform for regulated financial services, deploying specialist AI agents for lending, disputes, voice, outbound and KYB workflows. The London-headquartered company serves 20+ production customers including Wise, Zego, Plum and SteadyPay across UK, Europe and the US.
- Company typePrivate
- Founded2023
- HeadquartersLondon, United Kingdom
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What Gradient Labs does
Gradient Labs is an AI-native customer operations platform built exclusively for regulated financial services. Founded in 2023 in London by three former Monzo AI and data leaders (CEO Dimitri Masin, CTO Neal Lathia, Chief Scientist Danai Antoniou), the company deploys a suite of specialist vertical agents — Lending, Disputes, Voice, Outbound and KYB — that work together in a multi-agent architecture to automate frontline support, proactive outreach and back-office workflows across banks, lenders, insurers, fintechs and remittance providers. The company reports 20+ active customers in production (including Wise, Monzo, a large European digital bank, Current, Stash, Rho, Zego, Plum, Pockit, SteadyPay, Yonder, Nala, Penfold, Flagstone, Morse/Sling Money, Bondora, nsave and Rain), serving 32M+ end users across the UK, Europe and the US following its October 2025 US market entry via a New York office.
The underlying platform is a procedural-agent framework that orchestrates frontier LLMs from Anthropic (Claude 3.5 Sonnet and later), OpenAI (GPT-4.1, GPT-5.4 mini/nano per OpenAI's own customer story) and Google, with multi-LLM failover across cloud providers. Every conversational turn runs 20+ finance-specific guardrails covering FCA Consumer Duty, CONC, Reg E/Z, PSD2, GDPR, EU AI Act, FDCPA, TCPA, Reg F and related rules; the platform ingests text, audio (30+ languages) and structured account data, with auto-extracted "Facts" mined from historical support conversations and a human-in-the-loop "Ask a Human" handoff for edge cases. Integrations span helpdesks (Intercom, Zendesk, Salesforce, Freshdesk), contact centres (Twilio, RingCentral, Genesys, Nice), lending systems (LoanPro), card-scheme dispute rails (Visa Resolve, Mastercard, Amex) and core banking processors (Fiserv, FIS). The company holds SOC 2 Type 2 certification and is GDPR-ready.
Gradient Labs sells on an outcomes-based model with no platform fees and a money-back deployment guarantee, layered with usage-linked charges on high-volume Lending and Disputes workloads. GTM is primarily enterprise direct sales to regulated financial institutions, with a light self-serve entry point on existing helpdesks, heavy event presence at fintech conferences, a bank-led innovation channel via the NatWest 2026 FinTech Programme, and an explicit US field expansion motion run out of New York. The company has raised a £2.8M seed (Aug 2024, LocalGlobe), a $13M Series A (Jul 2025, Redpoint Ventures) and a $26M Series A extension (Jun 2026, Octopus Ventures and CommerzVentures), for cumulative disclosed funding of $42.6M and an estimated ~$60M valuation at the 2025 round.
Gradient Labs firmographics
Firmographics- Name
- Gradient Labs
- Legal name
- Gradient Labs Limited
- Website
- https://gradient-labs.ai
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- Gradient Labs is an AI-native customer operations platform for regulated financial services, deploying specialist AI agents for lending, disputes, voice, outbound and KYB workflows. The London-headquartered company serves 20+ production customers including Wise, Zego, Plum and SteadyPay across UK, Europe and the US.
- Ownership category
- akta.pro rank
Gradient Labs industry classification
Industry- Product category
- Conversational AI for Financial Services Customer Operations
- NAICS
- Custom Computer Programming Services (541511)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Financial Services Personalization (Banking, Investing, Insurance) (HDAAAGAH)
- akta.pro secondary industries
- Enterprise AI Governance, Risk & Compliance Platforms (Model Risk, Audit, Policies) (HDAEANAE), Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem) (HDAEANAC)
Keywords
Where Gradient Labs is headquartered
LocationHeadquarters
- HQ city
- London
- HQ country
- United Kingdom
- HQ region
- Europe
Offices2 records
Markets served
Gradient Labs business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- Outcomes-based AI agent subscription: B2B SaaS revenue from financial institutions, charged on a simple outcomes-based model with no platform fees — customers pay only for successful query resolutions that the AI agent delivered. Tiered against deployment scope and resolution volume.
- Performance-guarantee / money-back deployment model: Once a use case is scoped, Gradient Labs guarantees the deployment outcome — if it fails to deliver, the customer gets their money back, aligning revenue with realized performance and de-risking enterprise adoption.
- Embedded lending and back-office usage fees: Usage-linked charges for higher-volume Lending and Disputes workloads (e.g. outbound collections calls, chargebacks processed) where volume is the primary commercial axis, layered on top of the outcomes-based subscription.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Outcome Based/ Performance | Multi-year contract | Outcomes-based AI agent — pay per successful resolution |
| Freemium | Monthly | Self-serve day-one tier via existing helpdesk |
Go-to-market motion5 records
Distribution channels5 records
Marketing channels8 records
Gradient Labs product offering
Product offeringCore offering
Gradient Labs sells an AI-native customer operations platform for regulated financial services, delivered as a suite of specialist AI agents (Lending, Disputes, Voice, Outbound, KYB) that run on a procedural-agent framework with finance-specific guardrails applied on every turn. Customers access the platform via a web app or public API, integrating it into existing helpdesks, contact centres, lending management systems and card-scheme rails to automate frontline support, proactive outreach and complex back-office workflows such as chargebacks, hardship assessment, KYB, and collections.
Product overview
Gradient Labs provides an AI-native customer operations platform for financial services, organized as a platform-plus-specialist-agents architecture. The core platform, branded Otto (the Gradient Labs AI Agent), is configurable through a web app or via the Gradient Labs public API and acts as the operating system that runs between the specialist agents. On top of this base, Gradient Labs sells a suite of specialist agents — the Lending Agent, the Disputes Agent, the Voice AI Agent, the Outbound Agent, and the KYB Agent — each purpose-built for one regulated job and working together as a multi-agent system across frontline support, proactive outreach, and back-office operations. The Lending Agent anchors the lending lifecycle (SteadyPay, Pockit, LHV); the Disputes Agent handles chargeback workflows (Yonder, Wise); the Voice AI Agent powers phone support; and the Outbound Agent drives collections, fraud alerts, and verification. Supporting features include the Ask a Human handoff, Procedures for multi-step account actions, and an outcomes-based pricing model. The platform is consumed by 20+ active customers in production across retail banking, remittances, lending, insurance, savings, and pensions, serving 32 million end users with integrations into Intercom, Zendesk, Salesforce, Freshdesk, Twilio, RingCentral, Genesys, Nice, LoanPro, Visa, Mastercard, Amex, Enfuce, Thredd, PayPal, Klarna, Fiserv, and FIS.
Differentiator
Problem solved
Functional benefit
Brands
- Otto: Gradient Labs' flagship AI agent brand, used across deployments as the named conversational AI persona handling customer operations.
Products and services
- Otto (Gradient Labs AI Agent Platform) The flagship AI customer operations platform for regulated financial services, branded as the 'Otto' agent, configurable via the Gradient Labs web app or public API. Operates as the multi-agent system under which specialist agents (Lending, Disputes, Voice, Outbound, KYB) work, handling frontline support across voice, chat, email and SMS plus back-office investigations and proactive outreach with finance-specific guardrails applied on every turn.
- Lending Agent Specialist agent that automates the entire borrower lifecycle end to end for lenders and embedded credit platforms: applications, welcome and onboarding, active-borrower support, hardship and forbearance assessment, inbound and outbound collections, and back-office work. Handles 100,000+ voice calls per month across lending customers and is pre-configured for FDCPA/TCPA/Reg F (US), FCA Consumer Duty/CONC/Breathing Space (UK) and GDPR/EU AI Act (EU), with native integration into LoanPro lending management systems.
- Disputes Agent Specialist agent that automates the full chargeback and dispute lifecycle for card issuers, payment platforms and fintechs: intake via voice/text/email, classification against card-scheme reason codes, evidence review, follow-up to fill gaps, decisioning with human sign-off, and direct chargeback submission to Mastercard scheme APIs and Visa Resolve Online. Reports 98% accuracy, 24/7 coverage, a decrease in average resolution time and £30+ saved per case, with 20+ dispute-specific guardrails applied on every turn.
- Voice AI Agent Voice agent purpose-built for regulated financial services phone workflows. Handles complex calls with finance-specific guardrails (false promises, tipping-off, vulnerable-customer handling) on every turn, supports 30+ languages and regional accents, integrates into back-office systems to resolve cases end-to-end over the phone, and can be provisioned without requiring a dedicated phone line. Used for collections, hardship, fraud alerts, active borrower support and 24/7 customer service.
- Outbound Agent Proactive outreach agent that contacts customers on voice, SMS and email to handle collections, document collection, fraud prevention, verification and other agent-initiated tasks in financial services. Runs the same finance-specific guardrails as inbound interactions, honours callback requests and can leave voicemails. Generally available from February 2026.
- KYB Agent Back-office specialist agent that runs identity and document checks for business verification (KYB). Checks each document against internal policy, requests anything missing from the customer, screens for sanctions, and verifies the business before routing it to onboarding. Referenced as one of the suite of specialist agents in the company's Series A funding announcement.
Quantifiable outcome
- 80–90% peak resolution rate in mature deployments; 98% CSAT outperforming human teams
- +9 more outcomes
Companies that use Gradient Labs
Customer profileNamed customers20 records
Segments6 records
Ideal customer profiles3 records
Gradient Labs technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration18 records
AI capability14 records
Feature9 records
Gradient Labs partnerships and signals
Strategic signalPartnerships
24 partnerships are on record, tiered core technology partner, day-1 integration, standard integration, voice / messaging integration, contact centre integration, lending system integration, card scheme integration, card processing integration, payments integration, core banking / processing integration, flagship uk bank partner, pilot banking partner and high-profile individual ambassador.
- Anthropiccore technology partnerFrontier LLM provider — Gradient Labs' agents are built on Anthropic's Claude 3.5 Sonnet and subsequent models; co-published customer story on Claude.com. Multi-LLM stack also uses OpenAI and Google models, but Anthropic is publicly highlighted.
- OpenAIcore technology partnerFrontier LLM provider powering parts of Gradient Labs' agent stack (e.g. GPT-4.1, GPT-5.4 mini and nano), per OpenAI's own customer story; featured as a partnership blog post in May 2026.
- Googlecore technology partnerMulti-model AI strategy includes Google's frontier LLMs alongside OpenAI and Anthropic, ensuring failover and access to the latest models.
- Intercomday-1 integrationCustomer-facing helpdesk connector — Gradient Labs can be deployed on Intercom with no engineering work on day one, and Plum's deployment is built on Intercom.
- Zendeskday-1 integrationHelpdesk connector enabling day-1 deployment of Gradient Labs' agents without engineering work, and integration for richer procedure automation.
- Freshdeskday-1 integrationHelpdesk connector enabling day-1 deployment of Gradient Labs' agents with no integration work required.
- Salesforcestandard integrationCRM/helpdesk integration allowing Gradient Labs to plug into existing customer support workflows.
- Twiliovoice / messaging integrationTelephony and messaging provider integrated into Gradient Labs' omnichannel agent stack.
- RingCentralcontact centre integrationContact centre integration that supports Gradient Labs' omnichannel voice agent deployments.
- Genesyscontact centre integrationContact centre integration enabling enterprise voice deployments of the AI agent.
- Nicecontact centre integrationContact centre integration enabling enterprise voice and customer-experience deployments.
- LoanProlending system integrationLending management system integration supporting the Lending Agent's borrower-lifecycle workflows.
- Visacard scheme integrationIntegration with Visa Resolve Online for chargeback submission and dispute handling by the Disputes Agent.
- Mastercardcard scheme integrationIntegration with Mastercard chargeback APIs for end-to-end dispute submission, including via Resolve Online.
- American Expresscard scheme integrationIntegration supporting Amex chargeback and dispute workflows handled by the Disputes Agent.
- Enfucecard processing integrationCard-processing and BIN-sponsor integration supporting European issuer deployments.
- Threddcard processing integrationCard-processing partner integration enabling issuer-side dispute and account workflows.
- PayPalpayments integrationPayments platform integration supporting dispute and account workflows for merchants and fintechs using PayPal rails.
- Klarnapayments integrationBNPL/payments integration supporting dispute and customer-operation workflows.
- Fiservcore banking / processing integrationCore banking / processing integration supporting enterprise customer operations deployments.
- FIScore banking / processing integrationCore banking / processing integration supporting enterprise customer operations deployments.
- NatWest Groupflagship uk bank partnerSelected for NatWest's 2026 FinTech Programme (12-week AI-focused sprint themed "How AI is Shaping the Future of Customer Experience"); receives mentorship from senior leaders and access to NatWest's innovation ecosystem, with a path to live pilots inside the bank.
- LHV Bankpilot banking partnerPilot partnership using Gradient Labs' agentic AI for email customer support to test efficiency and accountability ahead of broader rollout at LHV Bank.
- Tom Blomfield (individual)high-profile individual ambassadorFormer Monzo CEO serves as Gradient Labs' "Ambassador to the UK Government" — provides public endorsement and policy access for the company. Not a commercial channel partner.
Scale indicators14 records
Recent moves7 records
Expansion highlights6 records
Gradient Labs competitors and assessment
Company assessmentDirect peers
- Sierra AI: Sierra builds vertical AI agents for enterprise customer experience, with a similar emphasis on deep domain specialization, guardrails and autonomy. It is the closest direct competitor in philosophy and enterprise GTM motion to Gradient Labs.
- Decagon: Decagon provides an AI customer service platform for enterprises with a focus on reliability, customisation and integration into existing support stacks. It overlaps directly with Gradient Labs' multi-agent platform approach and serves regulated enterprise customers.
- Forethought: Forethought offers AI agents for customer support workflows (Triage, Assist, Resolve, Discover) and competes for the same enterprise support-automation budget. While more horizontal than Gradient Labs, its Resolve and Assist products target the same autonomous-agent use case.
- Kasisto: Kasisto's KAI platform is a financial-services-specific conversational AI used by banks for customer service and engagement. It is a direct vertical peer, albeit historically more focused on digital assistants than full back-office automation like Gradient Labs' Lending and Disputes Agents.
- Posh Technologies: Posh builds AI assistants specifically for banks and credit unions (Knowledge Assistant, Conversational Phone Assistant, Frontline Assistant). It targets the same banking customer base as Gradient Labs, with a comparable vertical-only GTM.
- PolyAI: PolyAI is a voice-first conversational AI platform for enterprise customer service, including banks and financial services. Its production-grade voice agents compete directly with Gradient Labs' Voice AI Agent for regulated phone workflows such as collections and customer support.
- Cognigy: Cognigy provides an enterprise conversational and agentic AI platform for customer service automation across voice and digital channels. It serves regulated industries including financial services and competes for the same enterprise agent platform budget.
- Cresta: Cresta offers real-time AI agents and coaching for contact centres, including financial services deployments. Its focus on voice/chat automation in regulated enterprises makes it a comparable peer to Gradient Labs' Voice and Outbound Agents.
Broad incumbents
- ASAPP: ASAPP is an established enterprise AI platform for customer service automation across voice, chat and messaging, with large financial-services deployments. It competes with Gradient Labs in the broader enterprise agent space and is a broader incumbent with a wider industry footprint.
Emerging players
- Hume AI: Hume AI builds emotionally intelligent voice and conversational AI, with overlapping capability in natural, multi-accent voice agents. It is an emerging player whose voice quality and emotion-sensing technology could compete with Gradient Labs' Voice AI Agent over time.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
Gradient Labs social profiles
Digital presenceGradient Labs compliance and trust
Trust signalCompliance10 records
Gradient Labs financial estimates
Financial estimateRevenue estimate
Valuation estimate
Gradient Labs leadership team
Management profileNumber of profiles
Profiles10 records
Gradient Labs subsidiaries and ownership
Company hierarchySubsidiaries1 record
Gradient Labs funding detail
Funding detailFunding overview
Funding rounds3 records
Investors8 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Gradient Labs M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Gradient Labs
What does Gradient Labs do?
Gradient Labs sells an AI-native customer operations platform for regulated financial services, delivered as a suite of specialist AI agents (Lending, Disputes, Voice, Outbound, KYB) that run on a procedural-agent framework with finance-specific guardrails applied on every turn. Customers access the platform via a web app or public API, integrating it into existing helpdesks, contact centres, lending management systems and card-scheme rails to automate frontline support, proactive outreach and complex back-office workflows such as chargebacks, hardship assessment, KYB, and collections.
Is Gradient Labs a public or private company?
Gradient Labs is a private company. It is classified as venture growth investor backed and is currently operating.
When was Gradient Labs founded?
Gradient Labs was founded in 2023. It employs 51 to 100 people.
Where is Gradient Labs based?
Gradient Labs is headquartered in London, United Kingdom, in the Europe region.
How does Gradient Labs make money?
Three revenue lines are on record. Outcomes-based AI agent subscription is the primary driver. The others are performance-guarantee / money-back deployment model and embedded lending and back-office usage fees.
Who are Gradient Labs's main competitors?
Direct peers on record are Sierra AI, Decagon, Forethought, Kasisto, Posh Technologies, PolyAI, Cognigy and Cresta. ASAPP is listed as a broad incumbent. Hume AI is listed as an emerging player.
Does Gradient Labs have an API?
Yes. Gradient Labs offers a public API. The autonomous customer support agent plugs into existing customer support platforms via an API (Terms of Service reference an API used to deliver the Service). The Pricing FAQ explicitly states: 'You can use our AI agent directly through our public API.' The Product page notes the agent 'sits on your existing support platform, so no risky time-consuming replatforming.' The Terms of Service reference the Platform as accessed 'through our web app or via our API.' No specific SDK language, REST/GraphQL/webhook details, auth method, rate limits, versioning, or sandbox availability are described.
What industry is Gradient Labs in?
Gradient Labs's product category is Conversational AI for Financial Services Customer Operations. Its primary akta.pro industry code is HDAAAGAH, Financial Services Personalization (Banking, Investing, Insurance), with a secondary code of HDAEANAE, Enterprise AI Governance, Risk & Compliance Platforms (Model Risk, Audit, Policies). Its NAICS code is 541511 and its SIC code is 7372.