Parses inbound email into structured data: sender, subject, body, attachments, intent, and entities.

Extracts structured content from PDFs, Word docs, and other document formats.

Ingests calendar events from Google and Outlook. Normalizes to a common event schema.

Processes meeting transcripts into structured summaries, action items, and entities.

Polls RSS feeds and web sources on a schedule. Deduplicates and normalizes to a common article schema.

Validates and ingests inbound webhook payloads from any source. Routes to downstream handlers.

Parses CSV and Excel files into typed, structured row data with schema inference.

Converts audio and video to structured text via transcription APIs. Returns timestamped, speaker-attributed segments.

Enriches contact and company records with data from external sources (Clay, Apollo, LinkedIn).

Generic authenticated connector to external REST and GraphQL APIs with retry and rate limiting.

Routes LLM requests to the right provider (Anthropic, OpenAI, Bedrock) based on task type, cost, and latency.

Spawns and coordinates multiple specialized agents toward a shared goal.

Manages LLM tool-call cycles — invokes tools, collects results, continues reasoning.

Classifies text or documents into a configurable taxonomy with confidence scores.

Extracts structured entities and fields from unstructured text using LLM.

Generates structured draft documents (emails, proposals, specs) from input context.

Scores entities against configurable weighted criteria. Returns 0–100 score with per-criterion breakdown.

Builds multiple forward-looking scenarios with probability estimates, key drivers, and recommended actions.

Groups related content items into thematic clusters with titles and summaries.

Scores contacts against an Ideal Customer Profile definition. Returns fit tier and gap analysis.

Simulates domain expert personas for structured advisory and evaluation output.

Structured multi-agent discovery sessions that turn vague problems into precise, actionable specifications.

PostgreSQL vector storage for embeddings. Supports cosine similarity search and hybrid queries.

Generates and stores embeddings for documents, chunks, or entities. Handles chunking and batching.

Retrieval layer over embedded content. Answers natural language questions grounded in source documents.

Manages async task execution with priority, retry, dead-letter handling, and status tracking.

Assigns and routes tasks to agents or workers based on type, availability, and priority.

Manages human-in-the-loop review gates. Routes to approvers, tracks decisions, escalates on timeout.

Tracks citations and evidence chains for AI-generated claims. Enables auditability and hallucination detection.

Builds and queries a graph of entities and their typed relationships. Supports path and neighbor queries.

Spawns, manages lifecycle, and coordinates agents. Handles messaging, state persistence, and shutdown.

Pub/sub messaging between system components. Decouples producers from consumers.

Manages multi-touch communication sequences with timing, branching, and per-contact status tracking.

Records all data access and system actions. Immutable append-only log for compliance and traceability.

Tracks epics, milestones, tasks, and dependencies. Supports dependency graphs and status rollups.

Assembles narrative briefings from structured data using configurable templates and tone.

Composes multi-section reports from module outputs. Exports to PDF, DOCX, or HTML.

Real-time streaming chat interface with LLM backend, session management, and tool use.

Configurable dashboard container for metrics, lists, status views, and charts.

Authentication, authorization, and session management with tenant isolation. Supports OAuth and API key.

Bi-directional sync with CRM platforms (Attio, HubSpot, Salesforce) with conflict resolution.

Sends templated transactional emails via SendGrid. Handles delivery tracking and bounce management.

Manages file upload, storage, retrieval, and access control. Supports S3-compatible object storage.

Routes image and video generation requests across multiple provider APIs (DALL-E, Flux, Runway, Luma).

Dispatches notifications across channels (email, Slack, SMS, webhook) per user preference.

Routes and merges results from web search, semantic vector search, and keyword full-text search.

Safely executes OS-level commands in a sandboxed environment with allowlist and audit logging.

Converts data between formats and schemas. Handles JSON↔CSV, field renaming, and type coercion.

Manages API rate limits, exponential backoff, and retry logic for all external API calls.

Handles workspace isolation and row-level data partitioning per tenant at the database layer.