Interaction Analytics
Each vendor only sees their own slice. Swarmix sits across all of them, capturing the full picture of how an organisation uses AI across every vendor, every model, and every team.
Preview
Early designs. The final product may look different, but the intelligence it delivers won't.


The blind spot
The Anthropic console shows Claude usage. OpenAI shows GPT usage. Google shows Gemini. Three dashboards, three partial views, zero cross-vendor intelligence. Total spend across all of them? Which model works best for which task? Whether AI is actually making people more productive? Unanswerable.
Swarmix sits at the coordination layer, above the model layer. It captures interaction data across every vendor, every model, and every team. One unified view of how an entire organisation uses AI.
Six pillars of business value
Each pillar answers a question the board asks, with a metric they can track quarterly.
Cost per session, per turn, per model, aggregated by team, department, region. Cost to complete a task, not cost per token. Model switching patterns reveal wasted spend.
Sessions per user, activity heatmaps, feature utilisation, resumption rates. See who's productive, who's struggling, and who hasn't started.
PII triggers by category and department, approval friction, regional exposure patterns. Automated evidence for auditors and regulators.
Interaction friction trends, prompt quality, turns-to-resolution, session completion. Measuring whether AI is making people better, not just faster.
Model performance by task type and team, vendor concentration risk, workflow pattern analysis. Data-driven model selection instead of gut feeling.
With accumulated data: churn prediction, proactive model routing, anomaly detection, capacity planning. The analytics mature as the data grows.
The aggregation pyramid
Data flows upward from private (individual) to strategic (company), with privacy enforcement at every level. Content never leaves the device. Only structural metrics aggregate.
How it's different
| Capability | Vendor dashboards | Swarmix |
|---|---|---|
| Token usage & cost | Yes | Yes |
| Model comparison per task | No | Per-task, per-team |
| Interaction friction trends | Internal only | User-owned |
| Prompt quality tracking | No | Yes |
| Workflow pattern analysis | No | Sankey + sequences |
| PII / governance monitoring | No | Per-category, per-region |
| Learning curve tracking | No | Per-team, over time |
| Data ownership | Vendor | Customer |
Cost intelligence, adoption tracking, governance scoring, workforce effectiveness, unified across the entire AI stack.
A walkthrough of unified visibility, governance, and intelligence across every AI vendor and team.