/Companies

Klira AI

Techstars '25

San Francisco, US · 2 employees on LinkedIn · 1 known investors

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Klira provides measurement and risk assessment tools for AI agents, including SDKs for monitoring agent behavior, incident registries, and testing suites. The company serves enterprises deploying AI agents, insurance companies, and regulators seeking independent verification of AI agent safety and failure rates.

Also known as Klira · Klira AI, Inc.

Investors · 1

Techstarslisted by TechstarsBoulder · $220K

How we know: the Techstars portfolio · open dataset · Top 3000 Accelerator Startups (no YC) 2026-08 · open dataset · 5k.vc investor directory · Not right? Tell us

Company profile

researched Sep 2026

Klira AI describes itself as a safety and risk lab for AI agents. Its stated approach combines three instrument lines: PROBE, secret rotating adversarial attack suites used to measure an agent's failure boundary; ATTEST, tamper-evident monitoring that produces signed snapshots of an agent's configuration at every change; and PUBLISH, an open registry of real incidents, measured deployments and analysis. The company frames agent risk as structurally hard to measure for seven reasons it enumerates — non-determinism, non-stationarity, absent loss history, self-reported vendor evidence, correlated failure across a small number of shared foundation models, unmapped severity distributions, and shifting regulation — and argues that because most agents run on the same few foundation models, a single bad model update becomes a common-cause event across many deployments.

The technical product is the Klira AI SDK, positioned as a universal LLM observability and governance layer. It provides tracing, guardrails, evaluations and policy enforcement through decorators (@workflow, @task, @agent, @tool, @guardrails, @mcp_guardrails) and is built on OpenTelemetry. The SDK includes automatic framework detection with adapters for OpenAI Agents, LangChain, LangGraph, CrewAI, LlamaIndex, Vercel AI and custom frameworks, and LLM adapters for OpenAI, Anthropic, Gemini and local Ollama. Governance is evaluated in three layers: a regex-based fast rules engine, context-aware policy augmentation of prompts, and an LLM fallback for complex policy decisions. A hierarchical context model (organization, project, agent, conversation, user) supports cost attribution, performance analysis, audit-trail generation and role-based access control.

Alongside the SDK, Klira sells access to a cloud AI Control Center covering observability dashboards, policy management and compliance reporting, with pre-built policy templates for regulatory frameworks including HIPAA and GDPR. Healthcare-specific features include clinical event logging and PHI redaction, masking, replacement or hashing. The company also markets an AI compliance consulting and ethical risk assessment service that evaluates chatbots, virtual assistants, recommendation systems, automated decision-making tools and content generators for issues such as prompt injection risk and data leakage.

Business model

Klira operates a two-tier commercial model around its AI governance platform. An open-source SDK, distributed under the Apache License 2.0 and installable via pip (klira) and npm (@klira-ai/sdk), runs locally and works without a connection to Klira's cloud. Paid access to the Klira Platform — a cloud-based AI Control Center with observability dashboards, policy management and compliance reporting — is sold in a Pro tier (standard API limits, email support, policy templates, compliance reporting) and an Enterprise tier (custom API limits, dedicated support, custom SLAs, self-hosted deployment, BAA availability, premium compliance features, and selectable US or EU data residency). The company also offers a free 30-minute AI compliance consulting and ethical risk assessment call, delivering a risk score, vulnerability findings and a written compliance report within 2-3 business days as an entry point to paid engagements.

Subscription access to the Klira cloud platform across Pro and Enterprise tiers, with the SDK itself free and open source. Enterprise arrangements include custom API limits, dedicated support, custom SLAs, self-hosted deployment, Business Associate Agreements for HIPAA customers and Data Processing Agreements for GDPR/CCPA customers. Paid compliance solutions may follow the free assessment call, which carries no purchase obligation.

Traction

Public directory listings place headcount at 1-10 employees. Klira maintains an incident registry it describes as containing 800+ incidents on record, drawing on public sources such as the AI Incident Database.

Latest developments

Klira's terms of service for its AI compliance platform, covering the open-source SDK, cloud services and API, took effect January 26, 2026. The company lists adjacent offerings on its site: Tessero for agent commerce (tessero.dev), Attacker for agent red-teaming, and Coboling, an open-source equivalence gate for AI-driven changes to COBOL systems.

▸Full profile — market position, technology, go-to-market, geography, history

Market position

Klira is an early-stage company — listed as pre-seed with 1-10 employees — working in AI agent observability, guardrails and compliance. It frames its market around documented agent failures and legal exposure, citing 800+ documented AI incidents in public registries, 260+ AI lawsuits in US courts, the $25.6M Arup deepfake transfer, a $1.5B copyright settlement, and an EU AI Act penalty ceiling of €35M or 7%, alongside a projection that 40% of enterprise apps will feature task-specific agents by end of 2026.

Klira positions its SDK as a single unified API across LLM frameworks rather than a framework-specific point solution, with automatic adapter detection and no required configuration. Its lab positioning emphasises independent, continuous, third-party measurement of agent failure rates — secret rotating adversarial test suites and signed, tamper-evident snapshots — in contrast to vendor self-reported safety evidence, drawing analogies to the introduction of bond ratings, driving telematics and early cyber insurance underwriting. Core instruments are published as open-source code under the Apache License 2.0.

Technology

The Klira AI SDK is built on OpenTelemetry for distributed tracing and ships in Python and TypeScript. It uses a layered adapter architecture with automatic framework detection covering OpenAI Agents, LangChain, LangGraph, LangSmith, CrewAI, LlamaIndex, Vercel AI and custom frameworks, plus LLM adapters for OpenAI Chat Completions, Anthropic, Google Gemini, Ollama and custom providers. Policy enforcement runs in three layers — a regex fast rules engine, policy augmentation of prompts with compliance guidelines, and an LLM fallback evaluator — exposed through decorators including @guardrails and @mcp_guardrails for Model Context Protocol protection. Additional components cover evaluations, compliance analytics, PHI anonymization, caching and performance tuning, multi-instance scaling and API key management. Data is encrypted in transit with TLS 1.2+ and at rest with AES-256.

Go-to-market

Klira reaches developers through open-source distribution — a Python package (pip install klira), a TypeScript package (@klira-ai/sdk) and a public documentation site — together with a GitHub-hosted open-source project, Coboling. Commercially it uses direct sales motions including booked calls, demo requests via a private Slack channel with the founding team, an email early-access waitlist, and a free AI compliance consulting and ethical risk assessment call that produces a report and prioritised action items. The site explicitly addresses three buyer groups: organisations that deploy AI agents, those that insure them, and those that regulate them, and points to insurance as the first application.

Engineering teams and enterprises deploying LLM applications and AI agents, with documented use cases in financial services (compliance monitoring, risk management, audit trails), healthcare (HIPAA compliance, PHI protection, clinical event logging, patient-facing agents) and legal technology (confidentiality, professional standards, client-matter attribution). The company also targets insurers and regulators of AI agents, and founders seeking to identify and fix edge cases in their agents.

Geography

Company listings place Klira AI in San Francisco, California and Liberty Station, San Diego, California, with one directory listing Chula Vista, California. The platform offers US and EU data residency options for enterprise customers, and the company references the EU AI Act penalty regime in its market framing.

History

Klira AI was founded in 2025 and is listed as a pre-seed stage company on the Techstars job board. Its terms of service, operated by Klira AI, Inc., carry an effective date of January 26, 2026, and its website pages carry a 2025 copyright notice. The company maintains an SDK documentation site at docs.getklira.com and publishes related products including Tessero (agent commerce), Attacker (agent red-teaming) and the open-source Coboling project.

Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Employee count rangeJan 20261-10
Funding stageJan 2026Pre-Seed
HeadcountAug 20262
Incidents in klira registryJan 2026800 incidents
Sdk latency overheadJan 2026< 2ms per operation

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

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Companies working in the same space as Klira AI.

Timeline · 3

launches, deals, and filings
Jan 2026
Klira AI platform terms of service take effect

Terms of Service governing Klira's AI compliance platform — open-source SDK, cloud services, API and documentation — operated by Klira AI, Inc., with Pro and Enterprise tiers.

source ↗

Jan 2026
Coboling open-source equivalence gate released

Klira publishes Coboling on GitHub, an open-source equivalence gate that verifies AI-driven changes to COBOL systems do not alter behavior.

source ↗

Jan 2026
Klira AI SDK available in Python and TypeScript

Klira publishes its guardrails, tracing and evaluation instruments as open-source SDKs under the Apache License 2.0, distributed as the Python package 'klira' and the npm package '@klira-ai/sdk', with adapters for OpenAI, Anthropic, Gemini, LangChain, CrewAI, LlamaIndex and Vercel AI.

source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

▸Research sources · 8

primary sources listed

8 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Klira AI do?
Klira AI is a safety and risk lab for AI agents, providing an open-source LLM observability, guardrails and compliance SDK plus a cloud platform.
Who are Klira AI's investors?
Klira AI's investors include Techstars.
Where is Klira AI headquartered?
Klira AI is headquartered in San Francisco, US.