Agentic AI systems that perceive context, reason through complexity, and take real actions — from banking transactions to hospital triage to factory floor management.
A six-phase autonomous reasoning and action cycle that powers every AlgoFlow AI agent.
01Agents ingest data from voice, text, APIs, IoT sensors, and databases in real time — building a live model of their environment.
02LLM-based reasoning chains (CoT, ReAct, Tree-of-Thought) evaluate context, goals, and constraints to choose optimal actions.
03Multi-step task planning breaks complex goals into sub-tasks, handles dependency graphs, and orchestrates tool calls.
04Agents call APIs, write code, execute SQL, send communications, or control RPA bots — fully autonomously.
05Outcomes and feedback are captured, errors detected, and loops corrected — closing the continuous improvement cycle.
06Structured outputs, reports, alerts, or natural language responses are delivered to humans or downstream systems.
Purpose-built agentic systems for the industries where speed, accuracy, and compliance matter most.
1,000+ simultaneous queriesIntelligent voice agents for customer service, banking helpdesks, and healthcare triage. Built for Svarn AI — handling 1,000+ concurrent calls with human-quality responses.
Fraud detection in <200msAutonomous agents for KYC onboarding, AML monitoring, transaction anomaly detection, credit scoring, and regulatory reporting — PCI-DSS compliant.
40% OPD reductionClinical AI agents for patient routing, symptom triage, prescription assistance, OPD/IPD management, and ABDM/ABHA integration — deployed at Sahai hospitals.
Automated disruption handlingPassenger re-booking agents, flight disruption automation, dynamic pricing assistants, and loyalty program management without human intervention.
Lead-to-close automationProperty recommendation agents, document processing, legal due-diligence summarization, and buyer/seller matching via conversational AI.
40% less downtimeFactory agents monitoring production lines, triggering predictive maintenance, managing inventory reorders, and coordinating supply chain — proven with Smarter Energies.
Enterprise-grade infrastructure powering every agent we build.
Hierarchical agent networks where coordinator agents delegate to specialist sub-agents for complex enterprise workflows.
Retrieval-Augmented Generation with private vector stores, keeping agents grounded in your company's data and policies.
Agents autonomously call REST APIs, query databases, use code interpreters, and integrate with ERP/CRM systems.
Configurable escalation paths — agents hand off to humans when confidence is low or stakes are high, with full audit trails.
Short-term (session) and long-term (vector DB) memory enable agents to learn from interactions and maintain context.
Role-based access, PII masking, SOC 2 controls, GDPR-compliant data handling, and full audit logging baked in.
Real outcomes from real deployments.
Built a voice AI agent platform handling over 1,000 concurrent customer calls with sub-second response time, replacing a 50-person call center team for routine queries.
Deployed a clinical AI agent for patient triage, symptom routing, and prescription assistance — reducing OPD queue times by 40% and cutting administrative load by 60%.
Industrial AI agents monitoring 200+ equipment sensors for predictive failure detection — achieving 40% reduction in unplanned downtime and 25% cost savings.
We design, build, and operate production-grade agentic systems. From proof-of-concept in 2 weeks to full enterprise rollout.