Skip to contentDEMOSynthetic demo dataCRM simulatedAI deterministic demo modeNo external messages are ever sent
P8Monitor
Low fit or intent; no action recommended.
44/ 100D
Scores 44/100; strong technical (10.5/15); driven by AI product launch, Relevant job posting. Weak on timing, engagement.
Account fields with provenance| Field | Value | Source | Confidence |
|---|
| Industry | E-commerce Software | crm_import | 72% |
| Employees | 140 | demo_firmographics | 73% |
| Headcount growth (12m) | 34% | — | — |
| Segment | Mid-Market | — | — |
| HQ | Paris | demo_webscan | 63% |
E-commerce Software is an adjacent industry (half credit).
Company size7.8 / 12140 employees is within the target range (100–10,000) but outside the sweet spot.Geography4 / 8Headquartered in a secondary region (EMEA).Intent
- AI product launch7.8 / 9Launched Ledger Answers, observed 1 day ago. Confidence 88%, strength 0.80 (typical 0.80), 60-day half-life → 87% of 9 pts.
- Relevant job posting3.0 / 6Posted: Staff Engineer, LLM Evaluation, observed 22 days ago. Confidence 85%, strength 0.65 (typical 0.65), 30-day half-life → 50% of 6 pts.
Timing
- Headcount growth3 / 3Headcount grew 34% in 12 months: rapid scaling.
Technical
- AI/ML team1.5 / 6Small AI/ML team (~4); may not feel reliability pain yet.
- LLM stack6 / 6Runs 4 LLM-stack technologies: LlamaIndex, OpenAI, Weights & Biases, pgvector.
- Platform maturity3 / 3Production platform maturity: Kafka, Snowflake, Vertex AI.
Engagement
- Sales engagement0 / 5No two-way sales engagement in the last 90 days.
| Funding stage | Series B | demo_webscan | 80% |
| AI/ML team | 4 | demo_hiring | 90% |
| Tech stack | HubSpotKafkaLangSmithLlamaIndexOpenAIRedisSnowflakeStripeVertex AIWeights & Biasespgvector | 91% |
Last enriched May 14, 2026 · record source demo_seed:clay_table
AI Product LaunchLaunched Ledger Answers1d ago
Ledger Works launched Ledger Answers, an LLM-powered feature for customers (DEMO news feed).
demo_signal_feed · confidence 88% · strength 0.80 · demo
Job PostingPosted: Staff Engineer, LLM Evaluation23d ago
Job posting 'Staff Engineer, LLM Evaluation' mentions evaluation and reliability of LLM systems (DEMO).
demo_signal_feed · confidence 85% · strength 0.65 · demo