Four paths in.
Intelligence out.
The engine adapts to the environment, not the other way around. Pick the path that fits how your data is shaped — the output will match.
I run a community.
Discord, Slack, or Teams. Understand who stabilizes it, what is drifting, and what to do before problems show up in engagement charts.
- Behavioral profiles for anchors, stabilizers, accelerators
- Drift signals before engagement drops
- Dependency risk — who the community actually needs
- Minerva: a 3-item prioritized action plan, weekly
I create content.
YouTube or Instagram. Understand who your real audience is, whether they are coming back, and what they are asking you to make next.
- ARI — the share of your audience actually returning
- Regulars, converts, passthroughs — and what each one wants
- Narrative clusters: what your audience is asking for, unprompted
- Calliope: a weekly creative brief from your behavioral data
I’m a developer.
POST any interaction data in the standard event schema. Get behavioral intelligence back at your webhook, or poll by session ID.
- One endpoint — adaptive output based on your environment
- Webhooks or polling; either works
- Drift analysis comparing two event windows
- Athena spawned-agent output embedded in each session
I have a dataset.
Upload a CSV, JSON, or raw text corpus. The engine reads the environment first, then produces the intelligence the data actually warrants.
- No integration required — upload and receive
- Temporal or non-temporal data both supported
- Argus auto-pulls external context for anomalies
- Athena: spawned specialist configured for your environment
Talk to us.
We’ll tell you honestly if BIE is right for you.
Bigger communities, enterprise integrations, unusual data shapes — bring them. If the engine can’t read your environment, we’ll say so.
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