Production AI Systems

We build AI that does the work.

MarketIQX engineers AI employees, MemoryOS, Agentic RAG, governed tool use, and workflow systems that move beyond chatbot answers into business execution.

Design My AI Workflow See the proof

AI employees: Alex, Priya, AnikaMemory, RAG, tools, HITL, audit recordsBased in Mumbai, serving international buyers

Not just chatbotsPersistent business contextGoverned executionHuman approval where neededProduction engineering

The governing thought

AI becomes valuable when it changes how work moves through the business.

MarketIQX is positioned around AI plus software engineering plus workflow execution. That distinction matters for buyers who need real systems, not a demonstration prompt.

See the engagement model

The problem

Business teams are experimenting with AI, but the work still stops at inboxes, spreadsheets, CRMs, WhatsApp threads, dashboards, and approval queues.
Most chatbot or automation projects answer questions; they do not own a workflow, call tools safely, preserve context, or produce an auditable decision trail.
US founders and CTOs need a partner who can connect AI capability to production software, governance, and business operations without pretending every task needs a huge consulting program.

The resolution

Start with one workflow that has a clear owner and measurable operational drag.
Map systems, data, users, approvals, risks, and expected outcomes before selecting models or tools.
Build an AI workflow with retrieval, memory, tool use, HITL gates, observability, and production integration where the workflow justifies it.

MarketIQX Agentic System

AI employees, memory, retrieval and governed execution in one operating model.

The broader multi-tenant control plane is an architecture direction; the individual capabilities below are represented with careful maturity boundaries.

Channels

WhatsAppEmailWebAPIsVoice-ready architecture

Identity and context

TenantUserWorkflowBusiness state

AgentBus / Coordinator

RoutingAgent selectionHand-offsEscalation

AI employees

PriyaAlexAnika

MemoryOS + Agentic RAG

FactsPoliciesCorrectionsKnowledge retrieval

Governed execution

RBACTool permissionsHITLDecision receipts

Reliability

RetriesFallbacksTimeoutsObservabilityEvaluation

Sales / outbound AI employee

Alex

Alex represents outbound and growth workflows: prospect context, retrieval, follow-up, tool/API execution, governed hand-offs, and business memory where the implementation supports it.

Prospect context
Outbound workflow
Persistent business context
Tool/API execution
Agent hand-off to inbound workflows

Evidence: Circulogy sales and growth workflow work

Customer / inbound AI employee

Priya

Priya represents inbound customer workflows: customer context, routing, WhatsApp-style interaction, acknowledgements, owner alerts, escalation, and memory-backed response logic where supported by implementation history.

Inbound conversations
Customer context
Routing and escalation
WhatsApp workflow patterns
Hand-off to sales or owner review

Evidence: Circulogy inbound and customer workflow work

Operations / management AI employee

Anika

Anika is the clearest production-grade MarketIQX agentic workflow reference: email intake, classification, draft generation, Gmail-style tool integration, approval gates, edit/reject feedback, business memory, and learning from corrections where verified.

Email intake
Classification
Draft generation
Send / edit / reject approval
Business memory
Outcome correction loop

Evidence: Operational email workflow and approval-gate work

AI Employees MemoryOS Agentic RAG Decision Ledger Agentic AI case study

Governed Autonomy

Agents act inside policy, approval and audit boundaries.

MarketIQX designs agentic workflows around permissions, confidence checks, human-in-the-loop gates, decision receipts, retries, fallbacks and observability.

View governance model

AI prepares action

Risk and confidence check

Low riskExecute within permission

Higher riskHuman approval: send, edit, or reject

Record outcome and correction

What MarketIQX Builds

AI engineering beyond prompt demos.

Capability pages carry the technical depth; proof pages connect the claims back to implementation history.

Agentic AI Engineering

MarketIQX engineers AI systems that can observe business context, retrieve knowledge, use tools, request approval, execute workflows, and record outcomes under governance.

Open capability page

MemoryOS

MemoryOS is MarketIQX's structured memory substrate for AI employees: business facts, context, corrections, outcomes, policies and knowledge relationships used under governance.

Open capability page

Decision Ledger and Decision Receipts

Decision Ledger is MarketIQX's governance pattern for recording important AI-assisted actions, approvals, corrections and outcomes without exposing private model reasoning.

Open capability page

International Engagement

Remote engineering for serious workflows.

United States

Remote Agentic AI, AI agent, Agentic RAG, workflow automation, and AWS engineering for US companies.

United States market page

India

Agentic AI, workflow automation, AWS engineering, WhatsApp workflows, and AI-native products for Indian businesses.

India market page

United Arab Emirates

Agentic AI, customer-service automation, operations automation, document intelligence, WhatsApp workflows, and AWS engineering for UAE businesses.

United Arab Emirates market page

Evidence First

Real systems before broad claims.

Healthcare

HealthExpress healthcare commerce and operations platform

HealthExpress is a healthcare commerce and operations platform spanning patient/service discovery, bookings, orders, payments, records, reports, role-based workflows, administration, REST APIs, and AWS-oriented production architecture.

Read case study

AI infrastructure

MarketIQX Agentic AI operating model

MarketIQX has developed an agentic operating model around specialised AI employees, MemoryOS, Agentic RAG, governed tool execution, HITL approval, decision records, retries, fallbacks, tracing, observability and correction loops. The broader unified multi-tenant control plane remains an architecture direction, while individual capabilities have working and code-verified implementations.

Read case study

Circular economy / customer operations

Circulogy AI employee workflows

Circulogy work connects Alex and Priya to real AI employee workflows: outbound growth and inbound customer operations supported by memory, retrieval, routing, follow-up, WhatsApp-style interaction patterns, qualification and governed escalation where supported by implementation evidence.

Read case study

Start narrow. Build seriously.

Have one workflow that should not stay manual?

Start with one high-value process. MarketIQX can help shape the workflow, architecture, prototype, production path, governance model, and integration plan.

Design My AI Workflow Email MarketIQX