Platform & Architecture
Real-time, agentic data enrichment and cross-SNS forecasting
DataFlow Insights fuses autonomous enrichment workflows, graph-native analytics, and multimodal forecasting to turn fragmented social signals from YouTube, Twitter, and LinkedIn into actionable enterprise intelligence.
End-to-end Process
From Ingest to Insight — A Unified, Agentic Pipeline
Ingest
Real-time streams and batch synthesis capture events from YouTube, Twitter, and LinkedIn with sub-second latency. Adaptive throttling ensures completeness under peak load.
Enrich
Autonomous agents apply entity resolution, profile unification, semantic tagging, and sentiment extraction with ML confidence thresholds.
Graph
Temporal edges and time-series attributes preserve evolution, enabling fast queries, motif detection, and cohort formation for forecasting.
Serve
Low-latency model endpoints and event-driven triggers serve forecasts that feed back into agentic controllers for continuous optimization.
Models & Forecasting
Autonomous insight, anticipatory action
We combine graph neural networks, transformer-based sequence models, and probabilistic time-series engines to translate cross-platform social signals into actionable forecasts. By fusing structural relationships with temporal signals, our hybrid models detect emergent patterns before they become visible to conventional analytics.
Pattern-Based Forecasting
Discover repeating motifs and trajectory shapes, scored for confidence and velocity with calibrated uncertainty bands.
Contextual Features
Raw signals enriched via content embeddings, network topology, and engagement dynamics for multi-dimensional forecasting.
Explainability
Every forecast includes human-readable rationale, contributing nodes, and interpretable confidence scores.
Continuous Learning
Models retrain on outcome data and self-calibrate for seasonal shifts and platform changes.
Enterprise Controls
Granular governance with model scopes, risk thresholds, and audit trails per team.
Dashboard
Instant graph intelligence for strategic action
Interactive network graph showing relationships between accounts and content
Signal Streams
Filterable time-series tracks correlating content spikes, sentiment shifts, and engagement events.
Account Relationship Lens
Drill into layered views surfacing shared followers and cross-post behavior with provenance.
Content-to-Revenue
Visualize how content clusters map to target segments and conversion likelihood by vertical.
Query & Automation
Natural-language and graph-query inputs for power users.
Security & Compliance
Enterprise-grade security engineered for predictive social data
End-to-end lineage maps every ingestion, transformation, and model output. Immutable audit trails and queryable provenance let you prove where signals came from and how forecasts were derived.
Role-based and attribute-based access control with SSO (SAML, OIDC) and SCIM provisioning. Fine-grained policies enforce least privilege for pipelines, models, and graph queries.
All data encrypted in transit and at rest using AES-256 with TLS 1.3. Customer-managed keys via KMS/HSM integrations for full cryptographic isolation and key rotation policies.
Designed to align with SOC 2 Type II, ISO 27001, GDPR, and sector-specific requirements. Compliance artifacts and yearly third-party audits available under NDA.
Lineage Tracking
100% provenance coverage
Real-time Monitoring
Integrations & API
Seamless connectivity: native connectors + open API
Plug DataFlow Insights into your stack in minutes. Native connectors for major ERPs, HRMS, and FinTech platforms plus prebuilt adapters for YouTube, Twitter, and LinkedIn social streams.
Agentic API Example
POST /api/v1/workflows/enrich { "source": "linkedin", "entity_type": "profile", "tasks": ["resolve", "sentiment", "forecast"], "webhook": "https://your-app.com/callback" }Native Connectors
Workday, SAP, Oracle, ADP, Plaid, Stripe with turnkey workflows.
Graph Ingestion
Store entities as typed graph nodes with temporal context.
Workflow Studio
Build multi-step enrichment flows visually or as code.
Security-First
OAuth, SSO, token rotation, and per-connector permissions.
Quick Connectors
SDKs
Architecture & Scalability
Resilient microservices fabric optimized for enterprise-scale
Built on containerized microservices orchestrated with Kubernetes, enabling independent deployment, zero-downtime upgrades, and automatic horizontal scaling to meet burst loads from social networks and batch re-ingest windows.
