{"name":"Twotail-ai","domain":"twotail.ai","url":"https://optimly.ai/brand/twotail-ai","is_claimed":true,"categories":[],"headers":[{"header":"Overview","sections":[{"key":"short_description","label":"Tagline","shape":"text","content":"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_type":"brand_vault","source_label":"Brand-provided","source_url":null,"updated_at":"2026-07-10T09:20:19.065000+00:00"},{"key":"description","label":"Description","shape":"text","content":"TwoTail AI — AI agent observability + autonomous analytics (evals, trace analysis, offline experimentation) for LLM/agent systems","source_type":"brand_vault","source_label":"Brand-provided","source_url":null,"updated_at":"2026-07-10T09:20:19.065000+00:00"},{"key":"aliases","label":"Also known as","shape":"list","content":"['TwoTail']","source_type":"brand_vault","source_label":"Brand-provided","source_url":null,"updated_at":"2026-07-10T09:20:19.065000+00:00"}]},{"header":"Identity","sections":[{"key":"mission","label":"Mission","shape":"text","content":"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_type":"1p_website","source_label":"Brand's website","source_url":"https://twotail.ai","updated_at":"2026-10-07T03:48:55.072258+00:00"},{"key":"leadership","label":"Founders & leadership","shape":"text","content":"Timothy Daniell, founder of TwoTail. He has a background in mathematics, statistics, product analytics, AI startups, and data modeling.","source_type":"1p_website","source_label":"Brand's website","source_url":"https://twotail.ai","updated_at":"2026-10-07T03:48:55.072258+00:00"},{"key":"website","label":"Website","shape":"text","content":"https://twotail.ai","source_type":"1p_website","source_label":"Brand's website","source_url":"https://twotail.ai","updated_at":"2026-10-07T03:48:55.072258+00:00"},{"key":"voice_tone","label":"Voice & tone","shape":"text","content":"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_type":"brand_vault","source_label":"Brand-provided","source_url":null,"updated_at":"2026-07-10T09:20:19.065000+00:00"},{"key":"founded","label":"Founded","shape":"text","content":"2025","source_type":"1p_website","source_label":"Brand's website","source_url":"https://twotail.ai","updated_at":"2026-10-07T03:48:55.072258+00:00"}]},{"header":"Offerings","sections":[{"key":"problem_solved","label":"Problem solved","shape":"text","content":"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_type":"brand_vault","source_label":"Brand-provided","source_url":null,"updated_at":"2026-07-10T09:20:19.065000+00:00"},{"key":"core_capabilities","label":"Core capabilities","shape":"text","content":"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_type":"brand_vault","source_label":"Brand-provided","source_url":null,"updated_at":"2026-07-10T09:20:19.065000+00:00"},{"key":"products","label":"Products / SKUs","shape":"text","content":"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_type":"brand_vault","source_label":"Brand-provided","source_url":null,"updated_at":"2026-07-10T09:20:19.065000+00:00"},{"key":"pricing","label":"Pricing","shape":"text","content":"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_type":"brand_vault","source_label":"Brand-provided","source_url":null,"updated_at":"2026-07-10T09:20:19.065000+00:00"}]},{"header":"Audience","sections":[{"key":"target_industry","label":"Target industry","shape":"text","content":"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_type":"brand_vault","source_label":"Brand-provided","source_url":null,"updated_at":"2026-07-10T09:20:19.065000+00:00"},{"key":"customer_base","label":"Customer base","shape":"text","content":"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_type":"1p_website","source_label":"Brand's website","source_url":"https://twotail.ai","updated_at":"2026-10-07T03:48:55.072258+00:00"},{"key":"icp","label":"Ideal customer profile","shape":"text","content":"Engineering leader (Eng/Platform) at AI-native startup building agents","source_type":"brand_vault","source_label":"Brand-provided","source_url":null,"updated_at":"2026-07-10T09:20:19.065000+00:00"},{"key":"use_cases","label":"Use cases","shape":"text","content":"Business-metric-aligned evals & scoring, Failure clustering by intent/segment","source_type":"brand_vault","source_label":"Brand-provided","source_url":null,"updated_at":"2026-07-10T09:20:19.065000+00:00"},{"key":"customer_outcomes","label":"Customer outcomes","shape":"text","content":"Reduced evals from 12 to 2 that predicted editor approval\nFound a 38% versus 82% resolution gap for one support intent\nReduced per-step model cost by 42% while keeping completion within three percentage points of baseline\nReplaced a third of a founder's time reading summaries with actionable Slack alerts\nImproved confidence in alerts by reducing false positives\nIdentified root causes and recommended product or workflow changes\nEstablished live evaluation suites tied to business metrics","source_type":"1p_website","source_label":"Brand's website","source_url":"https://twotail.ai","updated_at":"2026-10-07T03:48:55.072258+00:00"}]},{"header":"Landscape","sections":[{"key":"competitors","label":"Competitors","shape":"links","content":[{"url":"/brand/langfuse","name":"langfuse"}],"source_type":"brand_vault","source_label":"Brand-provided","source_url":null,"updated_at":"2026-07-10T09:20:19.065000+00:00"},{"key":"differentiation","label":"Differentiation","shape":"text","content":"Autonomous, playbook-driven trace analysis that outputs validated fixes aligned to business outcome metrics.","source_type":"brand_vault","source_label":"Brand-provided","source_url":null,"updated_at":"2026-07-10T09:20:19.065000+00:00"},{"key":"unique_advantage","label":"Unique advantage","shape":"text","content":"Autonomous, playbook-driven trace analysis that outputs validated fixes aligned to business outcome metrics.","source_type":"brand_vault","source_label":"Brand-provided","source_url":null,"updated_at":"2026-07-10T09:20:19.065000+00:00"}]}],"last_refreshed_at":"2026-10-07T03:48:32.096410+00:00"}