Connect every signal. Build unified intelligence.
AI-powered integrations with 3rd party apps, social media platforms, and agentic automation workflows. From Salesforce to Slack to social — intelligence that connects everything.
Pre-built connector ecosystem
From documents to databases to SaaS apps — every enterprise signal type has a ready adapter.
Documents
Databases
APIs
Streams
Cloud
SaaS
How AI transforms your existing tools
We don't replace your tools — we make them intelligent. AI layers on top of every 3rd party app you already use.
CRM & Sales
Salesforce
Lead scoring, conversation summarization, pipeline prediction, automated follow-ups via AI agents
HubSpot
Contact enrichment, email drafting, sentiment analysis on deal notes, smart segmentation
Pipedrive
Activity prioritization, deal risk scoring, AI-generated email sequences
AI-powered social media integration
Turn social signals into intelligence. Sentiment monitoring, content generation, audience insights — all automated with AI.
Twitter / X — AI Capabilities
Sentiment Monitoring
Real-time sentiment analysis on brand mentions, competitor tracking, trending topic detection.
Auto-Response Drafting
AI drafts contextual replies for customer inquiries. Human approval before posting.
Content Intelligence
Optimal posting times, hashtag suggestions, engagement prediction before publish.
AI agents that orchestrate your integrations
Autonomous agents that detect events, reason about context, and execute across multiple connected systems.
Customer Onboarding Agent
Trigger: New signup in CRMWebhook from Salesforce: new customer created
Pull company data from LinkedIn, Crunchbase, website scraping
Generate personalized welcome email, onboarding checklist, resource recommendations
Send email via SendGrid, create Slack channel, schedule kickoff in Calendar
Track onboarding progress, trigger follow-ups if steps incomplete
Onboarding time reduced from 5 days to 4 hours.
Integration architecture
Every source connects through a unified intelligence layer — normalized, enriched, and routed.
Integration modes
Choose how data flows — on a schedule, continuously, or triggered by events.
Batch Sync
~minutesScheduled
Scheduled data synchronization for bulk processing. Best for nightly ingestion, weekly analytics, and database migrations.
Data quality before AI quality
Every signal is validated, normalized, and scored before it reaches a model.
Validation
Schema checks, format detection, required fields
95%
Normalization
Type coercion, encoding alignment, deduplication
88%
Enrichment
Metadata injection, entity tagging, relationship mapping
82%
Quality Score
Completeness, freshness, accuracy, consistency
97%
Security & governance
Every integration path is encrypted, controlled, logged, and traceable.
Encrypted Transit
TLS 1.3 end-to-end encryption for all data in motion.
Access Control
RBAC with least-privilege. Scoped API keys per integration.
Audit Logging
Immutable event trail for every data operation.
Data Lineage
Source-to-model traceability for compliance.
PII Detection
Automated PII scanning and redaction before model ingestion.
Tenant Isolation
Logical and physical separation of customer data.
Tell the AI where your data lives.
We'll map the integration architecture, connector patterns, and agentic workflows for your stack.