Handlebar
Handlebar provides a runtime governance SDK for AI agents, enforcing policies, blocking unsafe actions, and routing sensitive decisions to human approvers. It serves regulated industries including finance, legal, consulting, accounting, and healthcare.
- Company typePrivate
- Founded2025
- HeadquartersLondon, United Kingdom
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Handlebar does
Handlebar is a London-based, pre-seed startup founded in 2025 that provides runtime governance for AI agents via a software development kit. The SDK wraps AI agents to log actions, enforce policies, block unsafe behavior, and route sensitive decisions to human approvers, targeting customers in regulated and risk-sensitive verticals including finance, legal, consulting, accounting and healthcare, with a secondary offering aimed at startups building AI agents sold into those industries.
The product is composed of four named primitives: a Policies Engine that defines allowed and disallowed agent behaviors, Brakes that block unsafe actions at the tool-call layer, Bell that routes sensitive decisions to human approvers, and Lights that produce audit logs. Distribution is via a TypeScript/JavaScript SDK integrated with the Vercel AI SDK and Google AI SDK, with LangChain and OpenAI Assistants integrations on the public roadmap, plus a Python package for Google AI SDK users. The company has aligned its platform with the AIUC-1 agent governance standard via a partnership with the Artificial Intelligence Underwriting Company, and markets GDPR compliance with forward alignment to the EU AI Act and sector regulations such as FCA and HIPAA.
The commercial model is a four-tier structure: a free SDK for developers, a £499 Production Readiness Assessment (offered free during January 2026), a Cloud Platform starting at £49 per month, and an Enterprise plan starting at £15,000 per year. This blends a product-led growth motion on the free tier with a higher-value enterprise sales motion anchored on regulated-industry buyers. The founding team combines a repeat operator who previously founded Rover with two barristers, and the company is currently closing a pre-seed round while hiring its first Founding Engineer to convert early developer adoption into enterprise deployments.
Handlebar firmographics
Firmographics- Name
- Handlebar
- Legal name
- Handlebar LTD.
- Website
- https://gethandlebar.com
- Company type
- Private
- Founded year
- 2025
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Handlebar provides a runtime governance SDK for AI agents, enforcing policies, blocking unsafe actions, and routing sensitive decisions to human approvers. It serves regulated industries including finance, legal, consulting, accounting, and healthcare.
- Ownership category
- akta.pro rank
Handlebar industry classification
Industry- Product category
- AI Agent Governance Software
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373)
- akta.pro industry
- Data Security & Access Governance for Data (Entitlements/Policy Enforcement)Hardware, Technology & Telecom/Enterprise Platforms & Databases/Master Data Management (MDM) & Data Governance PlatformsPrivacy Management (Consent, DSAR, RoPA)Managed DevOps / Platform Operations (Run & Operate)Business & Public Services/IT & Digital Services (Managed Services, Systems Integration)/DevOps, Platform Engineering & SRE Services
Keywords
Where Handlebar is headquartered
LocationHeadquarters
- HQ city
- London
- HQ country
- United Kingdom
- HQ region
- Europe
Offices2 records
Markets served
Handlebar business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- Free SDK: Free tier for local agent evaluation. Self-configured policy rules, local audit logs, developer documentation. Generates developer adoption and upgrades to paid tiers.
- Production Readiness Assessment: One-time £499 assessment (free for January 2026). Hands-on validation of agent workflows with expert support. Agent and risk mapping, control implementation, deployment readiness report. Serves as sales touchpoint for Cloud Platform and Enterprise upsell.
- Cloud Platform Subscription: Production-ready policy enforcement and audit logs. Hosted audit logs, human-in-the-loop approvals, pre-built and custom policy support, early feature access. Starts at £49/month.
- Enterprise Platform: Advanced policy, compliance and operational controls. Continuous policy monitoring, bespoke workflows, dedicated integrations, on-site onboarding and support, on-call agent engineering support. Starting at £15,000/year.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free SDK for local evaluation |
| Subscription | Annual | Production Readiness Assessment |
| Subscription | Monthly | Cloud Platform |
| Subscription | Annual | Enterprise |
Go-to-market motion2 records
Distribution channels2 records
Marketing channels5 records
Handlebar product offering
Product offeringCore offering
Handlebar provides a runtime governance platform for AI agents, delivered via a lightweight SDK that wraps existing agents to log every action, enforce configurable policy rules, automatically block unsafe behaviour, and route sensitive decisions to humans for approval. The offering pairs the SDK with a hosted Cloud Platform for production policy enforcement and audit logs, and an Enterprise tier for continuous compliance monitoring and bespoke workflows.
Product overview
Handlebar is a runtime governance platform for AI agents, consisting of the Handlebar SDK (a lightweight wrapper for existing agents), the core Handlebar Runtime (for policy enforcement and audit logging), and three service tiers: Free SDK, Production Readiness Assessment, and Cloud Platform/Enterprise. The platform enables organizations to control autonomous AI systems in high-risk workflows through action logging, policy enforcement, blocking of unsafe behaviors, and human-in-the-loop approval workflows. Target industries include Finance, Legal, Consulting, Accounting, and Healthcare.
Differentiator
Problem solved
Functional benefit
Products and services
- Handlebar Runtime The core runtime governance platform that logs every AI agent action, enforces policy rules, blocks unsafe behaviours, and routes sensitive decisions to humans for approval. Designed for organisations deploying AI agents in regulated, high-risk workflows.
- Handlebar SDK Lightweight software development kit that wraps existing AI agents to enable governance capabilities. Available for JavaScript/TypeScript with Vercel AI SDK support and for Python with Google AI SDK support. Works with any LLM provider and integrates in a single line of code with zero configuration.
- Production Readiness Assessment Hands-on expert service (£499, free for January 2026) that maps an organisation's agent workflows, implements controls and policies, configures rules and human-in-the-loop approvals, and produces a deployment readiness report. Serves as a paid evaluation step prior to upgrading to the Cloud Platform or Enterprise tiers.
Quantifiable outcome
- <5 min integration time to start logging agent actions
- +2 more outcomes
Companies that use Handlebar
Customer profileSegments6 records
Ideal customer profiles6 records
Handlebar technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration4 records
AI capability3 records
Feature7 records
Handlebar partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- AIUC (Artificial Intelligence Underwriting Company)coreHandlebar integrates with and supports the AIUC-1 agent governance standard. AIUC-1 is the world's first AI agent standard, combining elements from EU AI Act, ISO 42001, NIST AI RMF, and regional legislation. Handlebar enables organisations to comply with AIUC-1 by providing deterministic policy enforcement and continuous audit logging. The SDK helps comply with Article A003 (contextual data safeguards) of AIUC-1.
Scale indicators2 records
Recent moves6 records
Expansion highlights6 records
Handlebar competitors and assessment
Company assessmentDirect peers
- LangSmith: Observability, evaluation, and monitoring platform for LLM/agent applications built on LangChain. Most directly comparable peer — also targets developers building agents and offers tracing, evaluation, and some policy controls as a wrapper around the agent execution layer.
- WhyLabs: AI observability and monitoring platform with a focus on data quality, model monitoring, and LLM guardrails. Overlaps with Handlebar's audit-logging and policy-monitoring capabilities for AI deployments.
- Guardrails AI: Validation and safety layer for LLM applications, providing input/output checks and policy enforcement. Closely comparable in the policy-enforcement and structured-output safety category Handlebar targets.
- Lakera: AI security platform focused on prompt injection, data leakage, and content safety for LLM applications. Comparable focus on agent safety/security controls in regulated environments.
- Helicone: Open-source LLM observability platform providing logging, tracing, and evaluation for AI applications. Comparable developer-first wrapper approach and overlap with Handlebar's policy/audit-logging positioning.
- Arize AI: AI observability and evaluation platform for LLM applications and agents. Comparable in addressing the runtime visibility and monitoring gap that Handlebar targets, with overlap in regulated-industry enterprise use cases.
- Portkey (by Kore.ai): AI gateway and observability platform for LLM applications with policy controls, logging, and guardrails. Directly comparable feature set to Handlebar's runtime policy enforcement and audit logging for agents.
Broad incumbents
- Microsoft Azure AI Content Safety: Native content safety and prompt-shield service bundled into the Azure AI stack. Provides guardrails for Azure-hosted AI workloads and represents the bundled alternative Handlebar competes against for Microsoft-shop enterprise customers.
- Amazon Bedrock Guardrails: Native guardrails feature within AWS Bedrock providing content filtering, topic controls, and sensitive information filtering for foundation models on AWS. Bundled hyperscaler alternative with overlapping policy-enforcement functionality.
Emerging players
- Pangea: Developer-first security and compliance API platform offering capabilities like audit logging, access control, and content moderation as services. Comparable API-first approach to delivering compliance primitives to AI applications.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
Handlebar social profiles
Digital presenceHandlebar compliance and trust
Trust signalCompliance1 record
Handlebar financial estimates
Financial estimateRevenue estimate
Valuation estimate
Handlebar leadership team
Management profileNumber of profiles
Profiles2 records
Handlebar funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Handlebar 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 Handlebar
What does Handlebar do?
Handlebar provides a runtime governance platform for AI agents, delivered via a lightweight SDK that wraps existing agents to log every action, enforce configurable policy rules, automatically block unsafe behaviour, and route sensitive decisions to humans for approval. The offering pairs the SDK with a hosted Cloud Platform for production policy enforcement and audit logs, and an Enterprise tier for continuous compliance monitoring and bespoke workflows.
Is Handlebar a public or private company?
Handlebar is a private company. It is classified as venture growth investor backed and is currently operating.
When was Handlebar founded?
Handlebar was founded in 2025. It employs 1 to 10 people.
Where is Handlebar based?
Handlebar is headquartered in London, United Kingdom, in the Europe region.
How does Handlebar make money?
Four revenue lines are on record. Free SDK is the primary driver. The others are production Readiness Assessment, cloud Platform Subscription and enterprise Platform.
Who are Handlebar's main competitors?
Direct peers on record are LangSmith, WhyLabs, Guardrails AI, Lakera, Helicone, Arize AI and Portkey (by Kore.ai). Broad incumbents are Microsoft Azure AI Content Safety and Amazon Bedrock Guardrails. Pangea is listed as an emerging player.
Does Handlebar have an API?
Yes. Handlebar offers an API for agent governance. The SDK connects to Handlebar via the handlebarApiKey configuration to load rule configs. The platform provides governance capabilities including policy checks, action logging, and human approvals through API integration. Developer documentation is at github.com/gethandlebar/handlebar-js.
What industry is Handlebar in?
Handlebar's product category is AI Agent Governance Software. Its primary akta.pro industry code is HDAEADAH, Data Security & Access Governance for Data (Entitlements/Policy Enforcement), with a secondary code of HDADAFAH, Privacy Management (Consent, DSAR, RoPA). Its NAICS code is 518 and its SIC code is 7370.