Confident AI · Jun 2026
Launch Week 02 Day 5 launched report templates so teams can define what their evaluation reports contain and how they are presented.
The Leading LLM Eval and Observability Platform for AI Quality
Company research
Public company, workplace, funding, and market signals
Overview
Confident AI is a San Francisco-based AI quality platform for LLM evaluation, observability, red teaming, and governance. It is built by the creators of DeepEval, the open-source evaluation framework, and is aimed at helping engineering, product, and QA teams standardize AI quality from development through production.
Primary product
Confident AI, an enterprise AI evaluation and observability platform powered by DeepEval
Founded
2024
Headquarters
San Francisco, California, United States
Team size
1-10
Industry
Software Development
Sub-industry
AI quality / LLMOps / evaluation and observability
Offices
San Francisco, California, United States
Business model
SaaS subscription
freemium self-serve plans
enterprise contracts
custom enterprise/on-prem deployments
Funding
Stage
Seed
Total raised
$2.3M
Latest round
Seed · Apr 2025
Latest amount
$2.2M
People & investors
Work & culture
Small, fast-moving team with an emphasis on ownership, directness, radical transparency, first-principles thinking, speed, and working closely with the founders. Hiring materials also stress a hands-on, technical, build-and-measure culture.
Compensation
Public job postings show founder-level roles in San Francisco with equity and cash compensation ranging from $140K-$300K depending on role, including $200K-$300K for Founding GTM, $140K-$200K for growth/developer roles, and $175K-$250K base for a founding product engineer.
Product & market
Pricing
Tiered subscription pricing with a free tier, self-serve monthly plans (Starter $200/mo and Team $2,000/mo), and custom enterprise pricing; enterprise supports self-hosted/on-prem deployment.
Differentiators
- —Built on DeepEval, the open-source evaluation framework created by the founders
- —Evaluation-first platform rather than observability-first
- —Combines evaluation, observability, red teaming, and governance in one platform
- —Supports self-hosted and on-prem/VPC deployments
- —Research-backed metrics and owned evaluation algorithms
- —Designed for both technical and non-technical stakeholders
- —Tight integration with open-source DeepEval and developer workflows
- —API-first and supports CI/CD gating and production monitoring
Technology
DeepEval
DeepTeam
Python
TypeScript
OpenTelemetry
LangChain
CrewAI
LlamaIndex
OpenAI Agents SDK
LiteLLM
Portkey
Customers
OpenAI
Google
Microsoft
BCG
AstraZeneca
AXA
Capgemini
Amdocs
RLDatix
Finom
Humach
Supernormal
Mercedes Benz
Stellantis
Competitors
Human Signal
Inspeq AI
Context.ai
Basalt
general LLMOps observability platforms
Scale & contact
Estimated revenue
Approximately $550K ARR (estimated, 2025)
Estimated monthly visits
96K
Traffic estimate as of Jun 2026
Latest news
Confident AI · Jun 2026
Launch Week 02 Day 4 introduced configurable synthetic data generation pipelines tied to the user's data sources and generation steps.
Confident AI · Jun 2026
Launch Week 02 Day 3 added configurable annotation forms so SMEs and PMs can capture structured feedback directly in the platform.
Confident AI · Jun 2026
Launch Week 02 Day 2 launched workflow automation for traces, spans, datasets, evaluation rules, and classifiers in a graph-based editor.
Confident AI · Jun 2026
Launch Week 02 Day 1 introduced AI Governance, a feature that enforces evaluation, observability, and red-teaming controls across projects with deploy gates.
Jobs and careers at Confident AI
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