# Twotail-ai

> Verified Business Profile published by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-07.

- **Business Profile:** https://optimly.ai/brand/twotail-ai
- **Dataset:** https://optimly.ai/brand/twotail-ai.json
- **Markdown:** https://optimly.ai/brand/twotail-ai/llms.txt
- **Official website:** https://twotail.ai
- **Slug:** twotail-ai

## Overview

- **Tagline:** TwoTail is an “agentic analyst” that goes beyond observability dashboards: it determines why your AI agent performance changes, what to fix, and provides validated, ready-to-ship optimizations by analyzing OpenTelemetry traces, creating business-aligned evals, and running sandbox experiments on real traces.
Source: Brand-provided · 2026-07-10

- **Description:** TwoTail AI — AI agent observability + autonomous analytics (evals, trace analysis, offline experimentation) for LLM/agent systems
Source: Brand-provided · 2026-07-10

- **Also known as:** ['TwoTail']
Source: Brand-provided · 2026-07-10

## Identity

- **Mission:** Make it possible to measure AI agents well by identifying the right evaluations, maximizing token ROI, distinguishing correlation from cause, and assigning credit for outcomes to actions.
Source: Brand's website (https://twotail.ai) · 2026-10-07

- **Founders & leadership:** Timothy Daniell, founder of TwoTail. He has a background in mathematics, statistics, product analytics, AI startups, and data modeling.
Source: Brand's website (https://twotail.ai) · 2026-10-07

- **Website:** https://twotail.ai
Source: Brand's website (https://twotail.ai) · 2026-10-07

- **Voice & tone:** Direct, technical, operator-focused; contrarian vs dashboards (“Your observability tool only tells you what happened. TwoTail figures out why”); outcome- and metric-driven; concise and pragmatic.
Source: Brand-provided · 2026-07-10

- **Founded:** 2025
Source: Brand's website (https://twotail.ai) · 2026-10-07

## Offerings

- **Problem solved:** TwoTail is an “agentic analyst” that goes beyond observability dashboards: it determines why your AI agent performance changes, what to fix, and provides validated, ready-to-ship optimizations by analyzing OpenTelemetry traces, creating business-aligned evals, and running sandbox experiments on real traces.
Source: Brand-provided · 2026-07-10

- **Core capabilities:** Business-metric-aligned evals & scoring, Failure clustering by intent/segment | TwoTail platform (agentic analyst) with: Battle-Tested Analysis Playbooks; Evals That Matter; Offline Experiments (sandbox replay); Pre-Tested Optimizations; Drift & Cost Watch; Always-On Monitoring; Easy Integration via OpenTelemetry; terminology/segment customization (“Speaks Your Product Language”)
Source: Brand-provided · 2026-07-10

- **Products / SKUs:** TwoTail platform (agentic analyst) with: Battle-Tested Analysis Playbooks; Evals That Matter; Offline Experiments (sandbox replay); Pre-Tested Optimizations; Drift & Cost Watch; Always-On Monitoring; Easy Integration via OpenTelemetry; terminology/segment customization (“Speaks Your Product Language”)
Source: Brand-provided · 2026-07-10

- **Pricing:** Has a free “Starter” tier for small projects; paid plans exist with limits/details on a separate pricing page (not included in provided content). Demo booking emphasized.
Source: Brand-provided · 2026-07-10

## Audience

- **Target industry:** Teams building and operating production AI agents (support chatbots, voice agents, knowledge assistants, recruiting/marketing agents, document extraction, research agents) who already have or can add OpenTelemetry tracing; likely ML/AI engineers, agent product teams, and engineering leaders who need to maintain quality, reduce cost/latency, and prevent silent regressions without a dedicated data team.
Source: Brand-provided · 2026-07-10

- **Customer base:** Growth-stage teams shipping AI agents to production. Named customers and case-study participants include Sliq, DarkMatter, Recharge360, and Assembly, as well as a marketing platform, a customer-support chat agent, and a research-assistant startup.
Source: Brand's website (https://twotail.ai) · 2026-10-07

- **Ideal customer profile:** Engineering leader (Eng/Platform) at AI-native startup building agents
Source: Brand-provided · 2026-07-10

- **Use cases:** Business-metric-aligned evals & scoring, Failure clustering by intent/segment
Source: Brand-provided · 2026-07-10

- **Customer outcomes:**
  - Reduced evals from 12 to 2 that predicted editor approval
  - Found a 38% versus 82% resolution gap for one support intent
  - Reduced per-step model cost by 42% while keeping completion within three percentage points of baseline
  - Replaced a third of a founder's time reading summaries with actionable Slack alerts
  - Improved confidence in alerts by reducing false positives
  - Identified root causes and recommended product or workflow changes
  - Established live evaluation suites tied to business metrics
Source: Brand's website (https://twotail.ai) · 2026-10-07

## Landscape

- **Competitors:**
  - [langfuse](/brand/langfuse)
Source: Brand-provided · 2026-07-10

- **Differentiation:** Autonomous, playbook-driven trace analysis that outputs validated fixes aligned to business outcome metrics.
Source: Brand-provided · 2026-07-10

- **Unique advantage:** Autonomous, playbook-driven trace analysis that outputs validated fixes aligned to business outcome metrics.
Source: Brand-provided · 2026-07-10

Page last updated 2026-10-07.