| What it does | Not given
| Citations, built for AI agents
|
|---|
| Stage | Startup
| Not given
|
|---|
| Founded | 2026
| Not given
|
|---|
| Based in | GB
| Not given
|
|---|
| Pricing model | Freemium
| Freemium
|
|---|
| Pricing | Free assessment, report and certificate. Optional: AI Fluency Map ($19 one-time), AI Coach ($19/month after 7-day free trial), Master bundle ($49). Employer assessment credits at $10 each.
| Free tier for small requests with no API key required; 10 million free tokens to start; $1 per million tokens for pay-as-you-go, with discounts available at volume or with annual commitments; failed requests are never charged.
|
|---|
| Key features | - Conversational assessment format that adapts to candidate answers
- Scoring across 5 dimensions and 11 criteria
- Evidence-based scoring with quotes from conversation
- Free AI certificate verifiable on LinkedIn
- Published rubric for assessment transparency
- Role-specific assessment paths for developers, product managers, designers and data scientists
- Second model review of full transcript before results issued
- Multi-language support including voice dictation in 14 languages
- AI Fluency Index tracking population benchmarks quarterly
| - Token-level attribution with confidence scores
- Works with any AI model without access to weights or internals
- Processes documents up to 1 million tokens
- Returns results in under 2 seconds for 20,000-token documents
- On-premise and air-gapped deployment options
- PDF support with character-level mapping
- Supports 23+ languages including Indian languages
- Chrome browser extension for page and PDF tracing
- Raw token-by-token heatmaps available via API
- No data logging or training on request content
|
|---|
| What makes it different | - Conversational assessment tests actual AI usage rather than recall through quiz-style questions
- High score reliability with 98% of retakers landing in same or adjacent tier
- Completely free assessment, report and certificate with no gating or upsell required
- Anti-gaming design with separate conversation and scoring systems plus integrity checks
| - Measures attention directly from the model's computation rather than asking the model to cite itself, providing verifiable attribution
- Achieves frontier-grade citation quality at 7x lower cost and 5-6x faster than alternatives
- Never confused by duplicate facts—identifies the exact occurrence the answer used even when values appear multiple times
- Lands on exact tokens down to character level, not just document chunks
- Works on any model's output post-generation without modifying inference pipeline
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 45 ▼ −1 (down) since last check | 2 ● no change since last check |
|---|
| Trust Flow (Majestic) | 24 | 3 |
|---|
| Citation Flow (Majestic) | 31 | 16 |
|---|
| Referring domains (Majestic) | 239 | 36 |
|---|
AISA
TokenPath