Autonomous AI that doesn't just answer questions — it processes claims, screens tumors, syncs cards, scores leads, and optimizes workflows. Without being asked.
Most companies add AI as a feature — a chatbot here, a recommendation engine there. We architect AI as the foundation. Every TECG SOFT platform is built on autonomous agents that follow the Observe → Plan → Act → Learn cycle continuously.
When a mammogram image is uploaded at a rural screening camp, our HealthScreen AI agent doesn't wait for a radiologist to log in. It analyzes the image immediately, flags suspicious regions, prioritizes the case in the doctor's queue, and pulls the patient's history. The doctor sees a complete, AI-triaged case file before they even open the app.
Every TECG SOFT agent runs this cycle autonomously, 24/7, getting smarter with every iteration.
Monitor data streams, events, user actions
Decide what to do based on goals + context
Update models, refine strategies, get better
Execute: call APIs, update databases, send alerts
Each agent has:
Specialized autonomous agents deployed across our platforms — each with a defined goal, toolset, and the judgment to act independently.
Goal: Detect cancer in medical images
CNN-based image analysis that scans mammograms, cervical slides, and oral images for anomalies. Performs risk scoring, flags suspicious regions, and self-improves with every confirmed diagnosis.
Reduces missed diagnosesGoal: Detect early warning signs in vitals
Time-series anomaly detection running continuously on patient vitals data. Identifies deteriorating trends before they become emergencies, triggering automated alerts to care teams.
24–48hr early warningGoal: Card-cloud data consistency
Manages bidirectional synchronization between physical NFC smart cards and cloud records. Handles DESFire authentication, key validation, conflict resolution, and retry logic for every tap.
99.5%+ data consistencyGoal: Score and convert leads automatically
Analyzes behavioral signals from digital card interactions, scores leads based on engagement depth, triggers WhatsApp follow-ups, and syncs qualified leads directly to your CRM.
3x conversion improvementGoal: Optimize screening routes and locations
Uses heatmaps, population density analysis, and seasonal disease patterns to recommend where and when to deploy mobile screening buses for maximum detection impact.
40% better detection ratesGoal: Continuous regulatory adherence
Scans data flows against HL7/FHIR standards, validates privacy controls, generates audit reports, and flags compliance gaps before they become violations. Runs across all platforms.
Continuous complianceGoal: Patient triage and intelligent routing
Analyzes presenting symptoms, cross-references patient history, routes to the right specialist, and provides clinical decision support. Ensures the sickest patients are seen first.
Faster care deliveryGoal: Create and optimize marketing content
Generates multi-channel, multi-language outreach content. Tracks engagement metrics across campaigns, A/B tests messaging, and automatically optimizes for better conversion rates.
AI-optimized outreachProduction-grade infrastructure powering autonomous intelligence across every TECG SOFT platform.
LangGraph / CrewAI
Multi-agent workflows with dynamic task routing, agent handoffs, parallel execution, and real-time coordination across complex pipelines.
Multi-model: GPT-4, Claude, Gemini
No vendor lock-in. We route to the best model for each task — reasoning, vision, code, and language — with automatic fallback and cost optimization.
Vector Database + Semantic Search
Agents remember context across sessions. Vector embeddings power semantic search, enabling long-term memory and context-aware decision making.
RAG (Retrieval-Augmented Generation)
Domain-specific knowledge bases for clinical guidelines, insurance policies, regulatory frameworks, and operational procedures — always up to date.
XGBoost, Neural Networks, CNNs, Time-series
Purpose-built models for image classification, anomaly detection, predictive scoring, and pattern recognition — trained on real production data.
Three-Plane Security Model
Authentication: Workload identity for every agent. Authorization: Policy-based access control. Governance: Full audit trail of every agent action.
Our AI engine isn't just internal — enterprises can deploy autonomous agents for their own workflows using our platform.
Whether you want to integrate AI into your existing systems or build from scratch with autonomous agents — our team is ready.