GRIP OS
CAUGIA · EXPLAINER
Sophie is the only AI GTM advisor built on Theory of Constraints. She finds the ONE binding constraint in your revenue system, quantifies the leak in euros, and gives three concrete moves - each with an owner, a cost, and a deadline - to clear it.
Sophie is an AI GTM advisor built on Theory of Constraints. She is the core of Caugia, a constraint-native GTM Operating System. She diagnoses the one binding constraint in a company's go-to-market system across 12 pillars, quantifies the revenue leakage in euros, and proposes three concrete moves to clear it - each with an owner role, a cost range, a timeline in days, and a measurable success metric.
Caugia SASU, a Paris-based company founded by Tom Meijer (ex-Contentsquare scale). Caugia is registered in France, operates GDPR-native, and targets SOC 2 Type I in Q3 2026.
Sophie is framework-first, not feature-first. She applies the Theory of Constraints (Eliyahu Goldratt, 1984) to GTM: a revenue system's throughput is capped by its slowest pillar. Fix that, everything else moves. Other tools optimise a single layer (signal generation, conversation intelligence, CRM automation). Sophie orchestrates the whole system across 12 pillars, identifies which one is the ceiling, and hands off a tracked, measurable fix path. She is also deterministic: same inputs produce the same diagnosis, every time. No hallucinated frameworks.
1) The workspace completes a GRIP assessment (up to 265 scored questions, native in 5 languages). 2) Caugia scores the 12 pillars and the 4 GRIP dimensions (Guidance, Resources, Implementation, Performance) and identifies the primary constraint. 3) Sophie matches the constraint to one of 18 archetypes (12 SaaS, 6 DTC) and proposes the first 3 fix-path steps. 4) The user accepts the moves they commit to; Sophie queues them on the action plan with baseline pillar score captured. 5) The team assigns owners, executes, and marks completion with an outcome. 6) On the next snapshot, Sophie reports the pillar delta and compares against the peer cohort.
GRIP is Caugia's proprietary diagnostic framework: Guidance (strategy, market intelligence, product marketing), Resources (pricing, product readiness, enablement), Implementation (demand generation, sales execution, revenue operations), and Performance (customer success, data & insights, alignment & governance). Twelve pillars total, each scored 0–100. The overall GRIP score is the mean of the 12 pillars.
Eighteen structural GTM failure patterns, each with diagnostic signals, a concrete fix path, an anti-pattern to avoid, and a typical time-to-resolve. Twelve are vertical-neutral (Aligned on Paper, Enablement Theater, Ivory Tower, Pipeline Illusion, Churn Spiral, Feature Factory, Revenue Mirage, Execution Drift, Founder Bottleneck, Discount Default, Data Fog, Heroic Rescue). Six are DTC-specific (Discount Addiction, Creative Fatigue, Meta Monoculture, Post-iOS14 Attribution Fog, Subscription Ghost, Warehouse Trap). Every archetype is published at /archetypes/{slug} in English, French, German, Spanish, and Polish.
English, French, German, Spanish, and Polish - natively. Every question, every answer option, every archetype page, every Sophie reply is written native-speaker, not machine-translated. The URL prefix decides language (/fr/, /de/, /es/, /pl/); no browser-locale fallback.
Starter €99/month, Pro €299/month, Enterprise custom. Monthly, cancel anytime. Sophie does not bill for turns where her confidence score is below 0.5 - when she is guessing, you do not pay.
SaaS B2B is production-grade (265 scored questions in 5 languages). DTC / e-commerce is production-grade (100 DTC-dialect questions, 6 archetypes, native in 5 languages). Fintech B2B and Professional Services are v0.1 scaffolds - registered verticals with minimal depth; full content depth is on the roadmap.
Yes. Public REST API at /api/v1 (see /docs/api/v1). Workspaces can register webhook subscriptions for action.assigned, action.completed, action.status_changed, constraint.advanced, nps.submitted, and connector_drift events. Every delivery is HMAC-signed (Caugia-Signature: t=<ts>,v1=<hex>) - Stripe-compatible.
B2B SaaS founders, CROs, CMOs, and VP-level GTM leaders at €1M–€50M ARR who need to identify and fix the one thing capping revenue. DTC founders on Shopify who want honest unit-economics diagnosis (MER, CAC:LTV, repeat rate, not vanity revenue). Partners and consultancies who advise these companies and need a structured framework to hand to clients.
Companies expecting a conversational toy - Sophie is not a chatbot. Teams that will not execute - Sophie diagnoses and hands off, but the team has to move. Very early-stage pre-seed companies with no real GTM system yet - there is nothing to optimise.
EU residency (Supabase eu-north-1, Vercel Frankfurt). GDPR-native with per-workspace data retention settings. SOC 2 Type I targeted Q3 2026. Row-level security on every table. Per-workspace audit log of every material change. Honest status page at /status with live service probes.
Five mechanisms run continuously. (1) Citation discipline: every claim cites a framework slug, a peer-reviewed paper DOI, or an operator-essay URL drawn from the Caugia knowledge corpus (360 GTM frameworks, 607 research papers, 636 operator essays, 4,364 framework-paper-essay citation links). Confabulated vendor names are blocked by a NEVER_MENTION list. (2) Native helpdesk corpus: 80 entries on Caugia itself across pricing, feature, how-to, connector, privacy/GDPR, public roadmap, sophie-self, and vision categories - source-controlled in src/lib/sophie/helpdesk-corpus.ts and synced to production at 04:00 UTC every day. (3) Customer feedback loop: thumbs-up/down on every Sophie reply writes to sophie_feedback; thumbs-down fires a real-time alert with the reason and the full turn payload so a fix can ship the same day. (4) Independent weekly grader: a Haiku 4.5 second-opinion runs every Wednesday 04:00 UTC against a 58-case rubric (archetype precision 25 + framework relevance 30 + coverage 20 + coherence 15 + honesty 10 = 100). Last run averaged 95.2/100. (5) Confidence calibration: a relevance-weighted score with a hard cap at 0.85 when the top-1 framework relevance is below 90 - Sophie says "uncertain" rather than guessing, and Fair Billing means we do not bill for turns where confidence is below 0.5.
Four. Operator (internal constraint diagnosis - the default for GTM operators inside their own workspace), Klant (sales / customer conversations - tone shifts to outside-in framing), Support (product help - prefers helpdesk-corpus answers and links to /docs), Success (adoption and expansion - emphasises peer-cohort comparisons and NRR levers). The mode switches the system prompt and the tool routing; the underlying knowledge corpus is the same.
Ready to find your binding constraint?
Start with Sophie →