What Foil does

Foil is a real-time AI agent observability and behavioral intelligence platform that helps engineering teams monitor, debug, and evaluate LLM-based agents running in production. The product is built on the OpenTelemetry standard and delivered through a JavaScript/TypeScript SDK (@getfoil/foil-js) that auto-instruments codebases via a one-command wizard, requiring no modifications to existing LLM calls. Its core technical differentiator is a behavioral profiling engine that bootstraps per-agent profiles from 50 traces and deepens them through geometric learning cycles (125, 313, 783+ traces) until convergence, with automated drift detection and self-healing re-learning when behavior shifts. The platform includes Smart Evaluations (9 built-in automated checks covering hallucination, PII, prompt injection, jailbreak, quality, NSFW, stuck/loop, frustration, and satisfaction), Health Anchors (falsifiable continuous health claims), and a Control Center dashboard surfacing flagged traces.

Foil serves engineering and operations teams deploying AI agents across customer support, document processing, code review, and onboarding workflows. Disclosed use cases include SaaS companies monitoring support agents (catching hallucination spikes after documentation updates), financial services firms enforcing 97% accuracy on document pipelines, and engineering teams monitoring code review agents for cascading CI failures. The company uses a hybrid product-led and enterprise sales model, distributing via npm and self-serve signup with a free 14-day Pro trial, plus a "Talk to a Founder" CTA for organizations requiring Pro-tier features (SSO, RBAC, model training, priority support).

The company monetizes through SaaS subscriptions at $49/month (Starter) and $149/month (Pro), with usage-based per-interaction add-ons of $0.001 and $0.005 respectively. Foil Ai, Inc. is a privately-held US corporation with a stated 1-10 employee headcount and no disclosed funding, investors, or leadership team, consistent with an early-stage company that has only recently opened public sign-ups.

Name

Foil

Legal name

Foil Ai, Inc.

Website

https://getfoil.ai

Company type

Private

Operating status

Operating

Headcount range

1–10 employees

Short description

Foil is an AI-native observability platform that provides real-time tracing, behavioral profiling, and automated evaluations for LLM-based agents in production, targeting engineering teams deploying customer support, document processing, and code review agents.

Ownership category

akta.pro rank

Product category

AI Agent Observability

SIC

Services-Computer Programming Services (7371)

akta.pro primary industry

Prompt Security & Injection Defense (HDAAAKAE)

Keywords

• AI agent observability
• LLM tracing
• Hallucination detection
• AI agent monitoring
• Behavioral profiling

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. SaaS Subscription (Starter): Monthly subscription at $49/mo providing unlimited spans, agents, retention, alerts, exports, deep search, and email support. Usage-based add-on at $0.001 per interaction.
2. SaaS Subscription (Pro): Monthly subscription at $149/mo with model training on customer data, smart search, semantic search, prompts management, SSO & RBAC, and priority support. Usage-based add-on at $0.005 per interaction.
3. Usage-based (Per Interaction): Pay-per-interaction model: $0.001/interaction for Starter tier, $0.005/interaction for Pro tier. Spans included: 10,000 with Pro trial.

Pricing tiers

Go-to-market motion3 records

Distribution channels3 records

Marketing channels3 records

Core offering

Foil provides a real-time AI agent observability and debugging platform that traces every LLM call, tool invocation, and decision branch in agent execution. It generates AI-derived behavioral profiles from trace data, runs nine built-in evaluations (hallucination, PII, jailbreak, quality, etc.), and surfaces drift, latency, and error alerts through a Control Center dashboard. Integration is delivered via a one-command npm wizard (@getfoil/foil-js) that auto-instruments existing codebases built on OpenAI, Anthropic, and other LLM providers.

Product overview

Foil is an AI agent observability and management platform offering a unified product architecture centered on real-time monitoring, behavioral intelligence, and automated evaluations. The core platform is delivered alongside the @getfoil/foil-js SDK (JavaScript/TypeScript) with an AI-powered Wizard for 1-command instrumentation. Key product modules include: Control Center (alerting and issue management dashboard), Agent Profiles (AI-generated behavioral intelligence with geometric learning cycles from 50 to 783+ traces), Smart Evaluations (9 built-in automated checks including hallucination and PII detection), Health Anchors (falsifiable claims validated continuously), and Drift Detection (automated behavioral monitoring with self-healing re-learning). Pricing tiers include Starter ($49/mo) and Pro ($149/mo with model training, SSO, and semantic search).

Differentiator

Problem solved

Functional benefit

Products and services

• Foil Platform Core AI agent observability platform providing real-time monitoring, behavioral profiling, automated evaluation, hallucination detection, and drift alerting for LLM-powered agents in production. Targets developers and engineering teams running AI agents built on OpenAI, Anthropic, and other providers.
• @getfoil/foil-js SDK JavaScript/TypeScript SDK distributed via npm that instruments AI agents for Foil tracing. Supports OpenAI and Anthropic API calls with OpenTelemetry-based instrumentation and provides the wizard CLI for one-command setup.
• Foil Wizard AI-powered CLI tool (invoked via 'npx @getfoil/foil-js wizard') that scans a codebase, detects LLM providers and application patterns, automatically adds Foil instrumentation, and creates a branch for review. Designed for zero-code-change integration.
• Control Center Unified dashboard surfacing flagged traces, evaluation failures, latency issues, and errors across all agents. Provides filtering, failure replay, resolution tracking, and team feedback workflows on individual traces.
• Agent Profiles AI-generated behavioral profiles for each instrumented agent, separating live quantitative metrics from AI-derived behavioral intelligence. Profiles bootstrap from 50 traces and deepen through geometric learning cycles (125, 313, 783+) until convergence is detected.
• Smart Evaluations Automated evaluation pipeline with 9 built-in checks (hallucination, PII leakage, prompt injection, jailbreak, quality, NSFW, stuck/loop, frustration, satisfaction). Uses each agent's behavioral profile as context for anomaly detection and supports custom evaluations via few-shot examples.
• Health Anchors Falsifiable health claims (e.g., error rate below 1%, daily volume exceeds 200 traces) continuously validated against agent behavior. Automatically triggers re-learning when anchors break.
• Drift Detection Automated behavioral drift monitoring that detects when agent behavior shifts from its established baseline. Triggers automatic re-learning cycles when drift is detected, returning to bootstrap mode on anchor break for self-healing.

Quantifiable outcome

• 97% accuracy enforcement for document processing pipelines
• +3 more outcomes

Named customers4 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration2 records

AI capability7 records

Feature8 records

Scale indicators6 records

Recent moves5 records

Expansion highlights5 records

Direct peers

• Helicone: LLM observability platform positioned as an OpenAI/Anthropic proxy that automatically logs requests, costs, and latencies. Directly competes with Foil on AI agent tracing and monitoring; Foil differentiates with deeper behavioral profiling and drift detection versus Helicone's lighter-weight logging approach.
• Arize AI: AI observability platform covering LLM tracing, evaluation, drift detection, and agent monitoring. Direct competitor in the AI/LLM observability category with broader funding and enterprise positioning; Foil competes on depth of behavioral profiling and JavaScript/TypeScript developer experience.
• LangSmith: LangChain's LLM observability and evaluation platform. Most directly comparable to Foil: traces LLM calls, evaluates outputs, monitors agents, and offers debugging tools. Differentiates with Python-first SDK and tight LangChain framework integration; Foil differentiates on behavioral profiling and self-healing drift detection.
• Langfuse: Open-source LLM engineering platform with tracing, evaluation, prompt management, and dataset tools. Competes head-to-head with Foil on agent observability; differs with open-source deployment model and Python-first SDK versus Foil's proprietary SaaS and JavaScript-first approach.
• Patronus AI: LLM evaluation and testing platform with focus on safety, hallucination, and quality evaluation. Closely comparable to Foil's Smart Evaluations (9 built-in checks) and overlapping target customers building production AI agents.
• Galileo: LLM evaluation and observability platform focused on hallucination detection, quality scoring, and agent monitoring. Direct competitor in agent evaluation and observability; both target AI teams building production agents with quality and reliability requirements.

Emerging players

• WhyLabs: AI observability platform with drift detection, data quality monitoring, and model performance tracking. Comparable to Foil on drift detection and behavioral monitoring, though broader scope spans traditional ML models alongside LLMs.

Broad incumbents

• Honeycomb: Production observability platform for distributed systems increasingly used by AI teams for LLM tracing via OpenTelemetry. Comparable on trace-level observability but does not offer Foil's agent-specific behavioral profiling or AI safety evaluations.
• Dynatrace: Enterprise observability and security platform with AI-powered monitoring capabilities. Increasingly competes in AI/agent observability for large enterprise accounts, but Foil offers deeper agent-specific behavioral profiling at more accessible price points.
• Datadog: Enterprise observability platform that has expanded into LLM and AI agent monitoring (LLM Observability, Watchdog for AI). Competes with Foil as a broader observability incumbent with existing enterprise customer relationships, though Foil offers more agent-specific behavioral intelligence.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/getfoilai

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

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 Foil