Unified attention
Give every context the same level of attention.
- Pulp API interprets language the same way across written posts, long-form media, transcripts, and internal documents.
- Claims, arguments, and reasoning patterns are captured in consistent formats so downstream systems are not guessing.
- This gives your applications a shared foundation of knowledge: sourced from real conversations that can be understood, measured, and acted on, no matter where it started.
Detect. Connect. Rebuild.
Each action forms a layer of resilience.
- Each action forms a layer of resilience.
- Detect → Identify signals, positions, audiences, and expectations inside the language itself.
- Connect → Link those signals across multiple files, channels, and time periods.
- Rebuild → Produce machine-readable representations that keep human meaning intact while making it usable by your stack.
- Pulp API becomes the bridge between what people are saying and what your systems need to know.
Cross-channel meaning
Follow how meaning shifts across channels.
- Understand conversations as they move through email, chat, social, documents, and recorded speech.
- Pulp API tracks claims, questions, and responses so you can see how positions develop and where they change.
- Those patterns help teams notice emerging themes early, adjust their approach, and keep communication grounded in reality instead of assumption.
- This lets teams:
- Track emerging themes
- Surface contradictions or alignment
- Compare movement across segments
Unified search
Search everything as if it were one file.
- Every asset becomes queryable.
- Pulp API turns posts, calls, videos, and internal logs into a single searchable index.
- Every search can span formats, channels, and systems, returning language objects rather than scattered fragments.
- Chained reasoning works across your entire archive without manual tagging or preprocessing.
- Your team gets one consistent view of how people speak, react, and decide, without losing context or detail. Now you can ask real questions of your content and expect real answers back.




