Milana

What Milana does

Milana is an AI-driven session recording and product analytics platform that markets itself as an "AI Product Engineer." Its product deploys vision AI to watch every browser session replay and autonomously surface the product issues, user-confusion signals, AI-feature failures, revenue leaks, and growth opportunities that conventional analytics and raw replays leave buried. Target buyers are engineering, product, and growth leaders at product-led companies who need scoped, proof-based findings ranked by impact rather than vague UX tickets or unfiltered replay queues.

The core technology stack comprises the Milana Platform (web dashboard and analysis pipeline), the Milana SDK (the milana-js npm package, available as React bindings, vanilla JavaScript, or a CDN script tag, with installation claimed in roughly ten minutes), and the Milana MCP Server (a hosted Model Context Protocol endpoint that exposes session search, user lookup, and query initiation to Claude Code, Cursor, ChatGPT, Codex, VS Code, and Claude Desktop). The recording layer is built on rrweb, the open-source session-recording library also used by PostHog, Sentry, and Statsig. Session data flows through a multi-stage pipeline — ingest, aggregation, encoding, AI transcription, and indexing — with vision-AI analysis running on Anthropic's Claude models. Optional enterprise modules include Codebase Integration (a scoped GitHub App that gives the agent source-level context via ephemeral sandboxes), BYO Storage (customer-owned GCS or S3 buckets), and BYO Cloud (a single-tenant install inside the customer's Google Cloud account, with the customer supplying their own Anthropic API key for inference).

Milana operates a hybrid go-to-market combining a self-serve, product-led motion (instant SDK signup, paid through implied subscription tiers) with a sales-assisted enterprise motion ("Book a Demo" via Calendly for buyers needing custom pricing, higher session volumes, or single-tenant deployment). Pricing is not publicly listed; the model is best characterized as quote-based, recurring SaaS subscriptions anchored to session volume and feature requirements. The company is privately held under the legal entity Vantara Inc, incorporated in California at 2261 Market Street STE 85017, San Francisco, with founders Rohan Katyal (Co-founder, CEO) and Raghav Sethi (Cofounder, CTO). Reported scale claims include serving >50M browsers and >1M sessions/day with 99.98% overall uptime, and the security posture is anchored on SOC 2 Type II certification monitored by Vanta.

Name

Milana

Legal name

Vantara Inc

Website

https://getmilana.ai

Company type

Private

Founded year

2025

Operating status

Operating

Headcount range

1–10 employees

Short description

AI-powered session recording and product analytics platform that uses vision AI to analyze browser session replays, identifying bugs, user confusion, AI blind spots, revenue leaks, and growth opportunities for engineering, product, and growth teams at SaaS companies.

Ownership category

akta.pro rank

Product category

Product Analytics Software

SIC

Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)

akta.pro secondary industry

Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG)

Keywords

• Session replay analytics
• Product analytics platform
• AI session analysis
• User behavior insights
• Session recording software

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Marketing or Sales

Revenue model

1. SaaS Subscription: Cloud-based SaaS offering with product ID and client key authentication. Pricing appears to be quote-based/enterprise-tiered based on session volume and feature requirements.

Go-to-market motion1 record

Distribution channels5 records

Marketing channels5 records

Core offering

Milana is an AI-powered session recording and product analytics platform that uses vision AI to watch browser session replays, automatically identifying product issues (bugs, user confusion, AI blind spots, revenue leaks) and ranking them by impact. It is delivered as an SDK (npm, script tag, React provider) plus a hosted MCP server that connects to AI coding tools like Claude Code and Cursor.

Product overview

Milana is an AI-powered session recording and product analytics platform. The core offering consists of the Milana Platform (milana.ai), the Milana SDK (milana-js npm package with React/JavaScript/Script Tag variants), and the Milana MCP Server for AI tool integration. Optional add-on modules include Codebase Integration (GitHub connection for source-aware AI analysis), BYO Storage (self-managed Google Cloud Storage or Amazon S3 buckets), and BYO Cloud (single-tenant GCP deployment with customer-owned Anthropic account). The platform uses vision AI to analyze browser session replays and autonomously identifies bugs, user confusion, AI blind spots, revenue leaks, and growth opportunities, ranked by impact across all sessions.

Differentiator

Problem solved

Functional benefit

Products and services

• Milana Platform AI-powered session recording and product analytics platform that uses vision AI to analyze browser session replays and automatically identify product issues, user behavior patterns, and growth opportunities. Targeted at engineering, product, and growth teams.
• Milana SDK Browser SDK (milana-js) that records user sessions via code snippet or npm package. Available as React bindings, vanilla JavaScript module, or CDN script tag. Built on the rrweb session recording library.
• Milana MCP Server Hosted Model Context Protocol server that connects AI coding tools (Claude Code, Cursor, ChatGPT, Claude Desktop, Codex CLI, VS Code) to Milana. Enables natural-language session search, user lookups, and query initiation directly from AI agent environments.
• Codebase Integration (GitHub App) Optional GitHub integration that connects repositories to Milana, enabling the AI agent to read source code alongside session data for deeper, source-aware analysis. Stores only repository metadata; source code is never persisted.
• BYO Storage Bring Your Own Storage option allowing customers to store session recordings in their own Google Cloud Storage bucket or Amazon S3 bucket, rather than Milana-managed storage. Provides full data residency and retention control.
• BYO Cloud Bring Your Own Cloud deployment option running Milana as a single-tenant install inside the customer's own Google Cloud account. Session recordings, database, storage, analytics pipeline, and AI analysis (via customer's Anthropic account) all run under customer's IAM.

Quantifiable outcome

• 29% obstruction rate identified in first 7 days of use (Account Access/Auth: 61 sessions, Scheduling: 45 sessions, Onboarding Flow: 12 sessions)
• +3 more outcomes

Segments3 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration10 records

AI capability7 records

Feature9 records

Partnerships

Eight partnerships are on record, tiered core.

• Anthropic (Claude)coreTechnology or IntegrationDeep integration with Anthropic's Claude AI models. Milana's AI analysis runs on Claude, and 'Fix with Claude' button directly generates code fixes from findings. MCP server enables Claude Code to query Milana sessions.
• CursorcoreTechnology or IntegrationMCP server integration allowing Cursor AI coding assistant to search sessions, look up users, and query Milana data directly within the IDE.
• ChatGPT (OpenAI)coreTechnology or IntegrationMCP server integration connecting ChatGPT to Milana for session search, user lookup, and analysis queries via custom connector.
• Codex (OpenAI)coreTechnology or IntegrationMCP server integration allowing Codex CLI to access Milana session data and analysis tools.
• GitHubcoreTechnology or IntegrationGitHub App integration for codebase access. Milana connects to GitHub repositories so the AI agent can read source-level context (components, events, flows) when investigating sessions. Supports scoped repository access and ephemeral isolated sandboxes for security.
• Google Cloud Platform (GCP)coreTechnology or IntegrationBYO Cloud deployment option runs Milana as single-tenant install inside customer's Google Cloud account. BYO Storage option supports GCS buckets for data residency.
• Amazon Web Services (AWS) - S3coreTechnology or IntegrationBYO Storage option supports Amazon S3 buckets for customers wanting to keep session recordings in their own AWS infrastructure.
• rrwebcoreTechnology or Integrationrrweb is the underlying session recording library (open source, MIT licensed). Used by PostHog, Sentry, Statsig, and others. Milana's SDK is built on rrweb with single production dependency.

Scale indicators5 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• FullStory: Digital experience analytics platform combining session replay, funnels, and AI-generated insights. Targets the same product, growth, and engineering personas as Milana and competes on AI-assisted discovery of user friction.
• PostHog: All-in-one developer product platform offering session replay, product analytics, feature flags, and A/B testing. PostHog is built on the same underlying rrweb session-recording library Milana uses and is the most direct horizontal competitor in the PLG product-analytics space.
• Hotjar: Behavior analytics tool offering session recordings, heatmaps, and surveys for product and growth teams. Comparable use case of using session replays to identify UX friction, though with less emphasis on AI-driven analysis.
• LogRocket: Session replay and product analytics platform focused on engineering and product teams, with Galileo AI for surfacing UX issues. Directly competes with Milana on AI-driven session analysis for developers.

Broad incumbents

• Sentry: Application error-monitoring incumbent with expanding session-replay and performance-monitoring capabilities (also built on rrweb). Represents a bundled incumbent threat: developers already instrument Sentry, reducing the marginal value of a standalone replay tool.
• Statsig: Feature-flagging and product experimentation platform with session replay and product analytics (also built on rrweb). Overlaps with Milana's product-insights use case for engineering and product leaders in mid-market and enterprise.
• Heap: Auto-capture digital analytics platform with session replay and AI-assisted insights. Comparable in serving product teams that want retroactive behavioral analysis without manual event tagging.
• Amplitude: Enterprise product analytics leader adding AI features (Amplitude AI) for behavioral insights and funnel analysis. Competes for the same product and growth personas and has the data volume to train AI on customer behavior at scale.
• Mixpanel: Product analytics platform serving product and growth teams with event-based analysis and increasingly AI-powered features. Overlaps with Milana's value prop of turning user behavior into prioritized product decisions.
• Pendo: Product experience platform combining in-app guidance, product analytics, and session replay for product-led organizations. Targets the same enterprise buyer as Milana's enterprise motion and bundles multiple product-insight capabilities.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

• Xx.com/getmilana

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds1 record

Investors2 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Milana