Flow
Automated Intelligence Workflows.
MCP-Powered
Data Processing Pipelines.
Continuous data processing with MCP protocol. Scrape, process, transform, and deliver fresh intelligence daily — powered by local LLMs on your GPU infrastructure. No per-token API costs. No cloud dependency.
Not Just ETL — Intelligence Pipelines
ATC Flow chains AI operations into automated workflows. Scrape, clean, embed, summarize, deliver — each step configurable and auditable.
MCP Data Pipelines
Connect to any data source via Model Context Protocol — databases, APIs, web scrapers, file systems, S3-compatible storage. Unified data access for all AI workflows.
Local LLM Drafting
Use on-premise LLMs (vLLM, Ollama) for content generation, summarization, extraction, and transformation. No per-token API costs. Fixed cost, unlimited usage.
Scheduled Processing
Cron-based and event-driven workflow execution. Daily data freshness. Automated report generation. Proactive intelligence delivery — not reactive queries.
Multi-Step Orchestration
Chain operations: scrape → clean → embed → summarize → deliver. Branching logic, error handling, and parallel execution built in.
Cost Optimization
60–70% cost reduction vs cloud API workflows. No per-query fees. Local GPU compute at fixed energy cost. Break even in weeks, not months.
Monitoring & Alerts
Real-time pipeline health monitoring. Failure alerts, intelligent retry logic, automatic recovery. Dashboard visibility into every running workflow.
From Raw Data to Delivered Intelligence
Every Flow pipeline follows a 6-stage process. Each step is configurable, auditable, and retryable.
MCP pulls from sources
Normalize + deduplicate
Local LLM transforms
Vector store for RAG
Extract insights + trends
Push to channels
Intelligence Pipelines Your Team Runs Manually Today
Four high-impact workflows that Flow automates end-to-end — from data collection to delivery.
Market Intelligence
Daily competitive monitoring on autopilot
- →Scrape competitor websites, news, and filings
- →Summarize changes with local LLM
- →Generate daily intelligence briefs
- →Deliver to Slack, email, or dashboard
- →Track trends and surface anomalies over time
Content Pipeline
Source → Draft → Review → Publish
- →Ingest source materials from RSS, APIs, and databases
- →Draft content with on-premise LLM
- →Route for human review with tracked approvals
- →Publish to CMS or distribution channels
- →Track performance metrics post-publish
Data Enrichment
Transform raw records into structured intelligence
- →Pull records from CRM, ERP, or legacy databases
- →Enrich with external data sources via MCP
- →Classify and tag with AI-powered categorization
- →Write enriched data back to source systems
- →Trigger downstream workflows on completion
Automated Reporting
Scheduled intelligence reports without manual work
- →Pull metrics from databases on daily/weekly cadence
- →LLM generates narrative analysis from raw numbers
- →Format into PDF reports or live dashboards
- →Distribute to stakeholders via email or Slack
- →Flag anomalies and deviations automatically
Cloud API Workflows vs ATC Flow
LangChain + OpenAI APIs, custom scripts hitting cloud endpoints — they work until your bill arrives.
Cloud API Workflows (LangChain, OpenAI, etc.)
- ✕Per-token pricing that scales with volume
- ✕Data sent to external cloud servers for processing
- ✕Rate limits throttle high-volume pipelines
- ✕Vendor model changes break existing pipelines
- ✕No built-in orchestration or scheduling
- ✕Custom code required per integration
- ✕Compliance risk with data leaving premises
ATC Flow On-Premise
- ✓Fixed GPU cost — unlimited LLM processing
- ✓All data stays on your infrastructure
- ✓No rate limits — your hardware, your throughput
- ✓You control which models run and when they update
- ✓Built-in scheduler, orchestrator, and monitor
- ✓MCP unified connector for all data sources
- ✓DPDP-ready — data never leaves premises
Data Pipelines for Every Sector
Where data freshness and sovereignty both matter, ATC Flow delivers daily intelligence without cloud exposure.
Healthcare
Clinical data processing + research pipelines
- →Research paper ingestion and summarization pipelines
- →Patient data enrichment from multiple EHR systems
- →Drug interaction monitoring from regulatory feeds
- →HIPAA-ready on-premise processing end-to-end
BFSI
Market data + compliance pipelines
- →Daily market data aggregation and trend analysis
- →Regulatory change monitoring across jurisdictions
- →Credit risk enrichment from multiple data providers
- →Audit-ready pipeline logs for compliance reporting
Manufacturing
Supply chain + quality intelligence
- →Supplier data enrichment from procurement systems
- →Quality metrics aggregation across production lines
- →Predictive maintenance reports from IoT sensor data
- →Bill of materials analysis with cost optimization
Education
Content generation + learning analytics
- →Student performance data aggregation across systems
- →Research output tracking and citation analysis
- →Curriculum content generation from source materials
- →Accreditation report automation from institutional data
Government
Sovereign data pipelines for public sector
- →Citizen feedback analysis from multiple channels
- →Policy impact monitoring from public data sources
- →Inter-department data harmonization pipelines
- →Air-gapped deployment for classified data processing
Media & Publishing
Content intelligence at editorial speed
- →News aggregation and summarization from global feeds
- →Content drafting pipelines with editorial workflows
- →Audience analytics enrichment from multiple platforms
- →Automated newsletter generation on daily schedule
Built for Local GPU Performance
Every component runs on your hardware. MCP protocol connects everything. Docker-deployed for portability.
Automate Your Intelligence Pipeline
Show us your manual data workflow. We’ll build an automated Flow pipeline and demo it live — on your infrastructure, with your data.
Your Data. Your Premises. Your AI.