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Applied enterprise AI

AI that runs inside your business

From core machine learning capabilities to autonomous agents and Model Context Protocol platforms, we build AI that is wired into your systems, governed properly and measured against business outcomes.

01 Core capabilities

Next-generation AI solutions

We design, develop and integrate autonomous agents, context-aware systems and intelligent automation to help you optimize operations, reduce costs and drive innovation across your enterprise.

AI-Powered Automation

Transform your operations with intelligent process automation, reducing manual effort by up to 80% while improving accuracy and efficiency.

Predictive Analytics

Harness machine learning models for forecasting, demand planning, risk assessment, and proactive decision-making across all business functions.

Natural Language Processing

Deploy advanced NLP solutions for document analysis, sentiment analysis, chatbots, and intelligent customer service automation.

Computer Vision

Implement image recognition, quality inspection, and visual analytics for manufacturing, healthcare diagnostics, and security applications.

Real-Time Intelligence

Stream processing and real-time analytics for instant insights, fraud detection, and dynamic pricing optimization.

Recommendation Engines

Personalized recommendation systems for e-commerce, content platforms, and customer engagement optimization.

02 Agentic AI

Agents that act, not just answer

Agents that plan, call tools, act inside your systems and report back — with the guardrails, evaluation and human oversight an enterprise needs before it lets software act on its behalf.

Autonomous Business Agents

Self-operating AI agents that execute complex business tasks end-to-end—from data gathering to decision-making to action execution—with minimal human intervention.

Multi-Agent Orchestration Systems

Coordinated networks of specialized AI agents working together to solve complex problems through distributed intelligence, task delegation, and collaborative decision-making.

Self-Learning Agent Frameworks

Adaptive AI agents that continuously learn from interactions, feedback, and outcomes to improve performance autonomously without explicit retraining.

Goal-Oriented Task Automation

Agentic systems that understand high-level business objectives and autonomously decompose them into actionable tasks, execute workflows, and achieve desired outcomes.

Tool-Using AI Agents

Intelligent agents equipped to interact with APIs, databases, enterprise systems, and external tools to gather information and execute actions across your technology stack.

Conversational Workflow Agents

Natural language interfaces that allow users to delegate complex multi-step tasks to AI agents through simple conversations, with agents handling all execution details.

02 Live trace

Pick a scenario. The agent plans, calls the systems, checks itself and escalates when it should.

agent-runtime · trace Idle

Choose a scenario and press Run. The trace below is illustrative.

Illustrative trace. Every tool name is a system we integrate; the data is not live.

03 Under the hood

How an enterprise agent actually works

A production agent is a control loop wrapped in guardrails, not a chat box. Each stage below is something we design, instrument and test before anything is allowed to act on live systems.

Stage 01

Goal

A business objective with explicit success criteria and boundaries.

Stage 02

Plan

The agent decomposes the goal into steps and picks a strategy.

Stage 03

Act

Tool calls into your APIs, databases, ERP, OSS/BSS or MES.

Stage 04

Observe

Results are read back, validated and checked against expectations.

Stage 05

Evaluate

Outcome scored; the loop repeats, escalates or reports completion.

The loop repeats until the goal is met, the budget is spent, or a human is asked

Guardrails at every stage: Scoped permissions per tool and per system of record · Human approval gates on irreversible actions · Full decision and action audit trail · Offline evaluation suites before every release · Cost, latency and rate budgets enforced at runtime.

04 Model Context Protocol

MCP-powered context intelligence

Context is what separates a demo from a dependable system. We build MCP-based platforms that give every model and agent the same governed, current view of your enterprise.

Enterprise sources

Databases & warehouses
APIs & enterprise systems
Documents & knowledge bases
Event & telemetry streams

MCP context layer

  • Normalize & resolve entities
  • Access control & data lineage
  • Freshness, versioning & caching
  • Routing, budgets & observability

Context consumers

Autonomous agents
Models & copilots
Business applications
Analytics & reporting
One governed view of the enterprise, shared by every model, agent and application — with the same access rules and the same freshness guarantees.

Unified Context Management Platform

MCP-based systems that aggregate, normalize, and maintain context from multiple enterprise sources—databases, APIs, documents, and real-time streams—for consistent AI operations.

Real-Time Context Synchronization

Dynamic context updating across distributed AI systems using Model Context Protocol, ensuring all agents and models operate with the latest information.

Multi-Modal Context Integration

Seamlessly combine text, images, structured data, time-series, and unstructured content into unified contextual representations for comprehensive AI understanding.

Secure Context Sharing & Governance

MCP-compliant context distribution with access controls, data lineage tracking, privacy preservation, and audit trails for enterprise-grade security and compliance.

Context-Aware AI Routing

Intelligent routing of requests to specialized models based on contextual understanding, optimizing for accuracy, latency, and cost across your AI infrastructure.

Persistent Memory & Context Continuity

Long-term context retention across sessions, conversations, and interactions, enabling AI systems to build and maintain deep understanding over time.

05 Vertical AI solutions

AI solutions by industry

Solutions designed around specific operational challenges and measurable business outcomes. Choose a sector, or search every capability at once.

Telecommunications & Network

AI across the network lifecycle — from planning and provisioning to assurance, revenue protection and autonomous operations.

AI-Powered OSS/BSS Automation

Intelligent operations and business support systems with automated service provisioning, order management, network configuration, and fault resolution.

Network Optimization & Planning

5G/4G network optimization, capacity planning, coverage prediction, RF optimization, and intelligent network slicing for telecom operators.

Smart Network Traffic Anomaly Detection

AI-driven real-time traffic analysis, DDoS detection, bandwidth optimization, latency prediction, and intelligent threat identification for network security.

Revenue Assurance & Fraud Management

Automated revenue leakage detection, billing anomaly identification, subscription fraud prevention, and intelligent charging optimization.

Customer Churn Prediction

Proactive churn prevention with AI models that identify at-risk subscribers, recommend retention offers, and optimize customer lifetime value.

Service Assurance & Quality Monitoring

Automated service quality monitoring, customer experience analytics, proactive issue detection, and root cause analysis for telecom services.

Autonomous Network Operations Agents

Self-operating AI agents for network management that autonomously detect issues, optimize configurations, balance loads, and execute remediation actions across OSS/BSS systems.

MCP-Enabled Network Context Intelligence

Unified context platform aggregating network KPIs, customer data, service status, and infrastructure metrics for context-aware network optimization and predictive operations.

Supply Chain & Logistics

End-to-end visibility, forecasting and autonomous orchestration across suppliers, warehouses, fleets and demand signals.

End-to-End Supply Chain Visibility

Real-time tracking, demand sensing, supplier risk prediction, logistics optimization, and intelligent disruption management using AI.

Smart Warehouse Automation

Computer vision for inventory management, robotic picking optimization, warehouse layout planning, and automated quality inspection.

Demand Forecasting & Inventory Optimization

Predictive demand planning, safety stock optimization, automated replenishment, and multi-echelon inventory management.

Intelligent Route & Fleet Optimization

Dynamic route planning, last-mile delivery optimization, fleet utilization, driver behavior analysis, and delivery time prediction.

Procurement Intelligence

Supplier selection optimization, spend analysis, contract intelligence, price forecasting, and automated procurement workflows.

Supply Chain Risk Management

Real-time risk monitoring, supplier financial health prediction, geopolitical risk assessment, and alternative sourcing recommendations.

Autonomous Supply Chain Orchestration

Multi-agent systems that autonomously manage procurement, inventory allocation, logistics coordination, and supplier negotiations based on real-time market conditions.

MCP Supply Chain Context Hub

Unified context platform integrating supplier data, inventory levels, shipment tracking, demand signals, and market intelligence for intelligent supply chain decision-making.

Finance & Banking

Risk, fraud, compliance and advisory intelligence built for regulated environments and real-time decisioning.

Real-Time Fraud Detection

Transaction anomaly detection, identity theft prevention, account takeover detection, and payment fraud prevention with 99%+ accuracy.

AI-Powered Credit Risk & Underwriting

Automated credit scoring, alternative data analysis, loan approval optimization, and intelligent risk assessment for lending.

Algorithmic Trading & Market Intelligence

AI-driven trading strategies, sentiment analysis, portfolio optimization, risk modeling, and real-time financial forecasting.

AML & KYC Automation

Anti-money laundering detection, Know Your Customer verification, suspicious activity monitoring, and regulatory compliance automation.

Robo-Advisory & Wealth Management

Personalized investment recommendations, portfolio rebalancing, tax optimization, and automated financial planning.

Banking Conversational AI

Intelligent chatbots, voice banking, customer service automation, transaction assistance, and 24/7 virtual banking assistants.

Autonomous Trading & Risk Agents

Self-operating agents that execute trading strategies, manage portfolios, monitor risk exposure, rebalance holdings, and execute transactions autonomously within defined parameters.

Financial Context Intelligence Platform

MCP-powered system unifying customer profiles, transaction history, market data, regulatory requirements, and risk metrics for context-aware banking operations.

Manufacturing & Industrial

Predictive maintenance, quality engineering and autonomous production control across the plant floor and the wider supply network.

Predictive Maintenance & Asset Management

Equipment failure prediction, maintenance scheduling optimization, asset lifecycle management, and condition-based monitoring.

AI-Enabled Quality Engineering

Computer vision defect detection, automated quality inspection, root cause analysis, and continuous quality improvement.

Smart Factory & Production Optimization

Production scheduling optimization, line balancing, throughput maximization, energy efficiency, and real-time production monitoring.

Digital Twin & Simulation

Virtual factory modeling, process simulation, what-if analysis, production planning optimization, and performance prediction.

Manufacturing Analytics & OEE

Overall equipment effectiveness optimization, downtime reduction, yield improvement, and real-time production analytics.

Supply-Demand Matching

Production planning based on real-time demand, material requirement planning, capacity utilization, and just-in-time manufacturing.

Autonomous Production Control Agents

Self-managing agents that optimize production schedules, adjust machine parameters, coordinate material flow, and resolve bottlenecks autonomously across manufacturing lines.

Manufacturing Context Integration (MCP)

Unified context platform connecting MES, ERP, IoT sensors, quality systems, and maintenance data for intelligent manufacturing orchestration and predictive operations.

Smart City & Urban Solutions

Traffic, safety, energy, water and building intelligence coordinated through a single urban context platform.

Intelligent Traffic Management

Traffic flow optimization, congestion prediction, adaptive signal control, incident detection, and smart parking management.

Public Safety & Surveillance AI

Video analytics, crowd monitoring, emergency response optimization, crime hotspot prediction, and incident management.

Smart Grid & Energy Management

Load forecasting, demand response automation, renewable energy integration, grid optimization, and outage prediction.

Waste Management Optimization

Route optimization for collection, smart bin monitoring, waste sorting automation, and recycling efficiency improvement.

Smart Building Management

Energy optimization, occupancy prediction, HVAC automation, predictive maintenance, and intelligent space utilization.

Water Management & Conservation

Leak detection, consumption prediction, quality monitoring, distribution optimization, and smart irrigation systems.

Autonomous City Operations Agents

Multi-agent systems coordinating traffic signals, emergency response, utility management, and public services autonomously based on real-time city conditions.

Smart City MCP Integration Hub

Unified context platform connecting IoT sensors, traffic systems, utility networks, emergency services, and citizen data for holistic smart city intelligence.

E-Commerce & Retail

Personalisation, pricing, inventory and fraud intelligence unified across every channel a customer touches.

Hyper-Personalization Engine

Product recommendations, personalized search, dynamic content, individualized promotions, and customer journey optimization.

Visual Search & Image Recognition

Search by image, similar product discovery, style matching, visual merchandising, and automated product tagging.

Dynamic Pricing & Revenue Optimization

Real-time price optimization, competitive pricing intelligence, markdown optimization, and promotional effectiveness analysis.

Inventory & Demand Intelligence

Multi-channel inventory optimization, demand forecasting, stock allocation, out-of-stock prevention, and automated replenishment.

E-Commerce Fraud Prevention

Payment fraud detection, account takeover prevention, fake review identification, and return abuse detection.

Conversational Commerce AI

Shopping assistants, product recommendation chatbots, order tracking automation, and customer support AI.

Autonomous E-Commerce Operations

Self-managing agents handling pricing optimization, inventory allocation, promotional campaigns, order fulfillment routing, and customer service escalations autonomously.

Omnichannel MCP Context Platform

Unified customer context across web, mobile, social, in-store, and marketplace channels for seamless personalized shopping experiences and consistent service.

Merchandising & Retail Operations

Assortment, space, shelf and promotion intelligence for retailers running physical estates at scale.

Planogram Optimization

AI-powered shelf space allocation, category management, product placement optimization, and visual merchandising recommendations.

Assortment Planning Intelligence

Product mix optimization, local assortment customization, new product introduction planning, and SKU rationalization.

Store Performance Analytics

Sales forecasting by location, foot traffic analysis, basket analysis, and store-level performance optimization.

Store Layout & Space Optimization

Customer flow analysis, heat mapping, dwell time optimization, and data-driven store design recommendations.

Shelf Analytics & Compliance

Computer vision for shelf monitoring, out-of-stock detection, planogram compliance checking, and real-time inventory visibility.

Promotional Effectiveness AI

Campaign performance prediction, promotion optimization, markdown strategy, and ROI analysis for retail promotions.

Autonomous Merchandising Agents

AI agents that autonomously plan assortments, optimize planograms, execute pricing strategies, and coordinate promotional calendars based on real-time sales and market data.

Retail MCP Analytics Platform

Context intelligence platform unifying POS data, foot traffic, inventory, weather, events, and competitive intelligence for comprehensive merchandising insights.

Enterprise-Wide AI Capabilities

Horizontal AI capabilities that apply to every sector we work in, from AIOps to intelligent document processing.

AI-Powered AIOps & Smart Operations

Next-gen IT operations with predictive monitoring, automated incident resolution, anomaly detection, capacity planning, and self-healing infrastructure.

Intelligent Process Automation

RPA combined with AI for end-to-end workflow automation, exception handling, decision-making, and continuous process optimization.

AI-Powered Cybersecurity

Behavioral threat detection, zero-day exploit identification, automated incident response, and intelligent security operations.

Intelligent Document Processing

AI-powered OCR, document classification, data extraction, contract analysis, and automated document workflows.

Enterprise Conversational AI

Advanced chatbots, voice assistants, omnichannel support automation, and intelligent customer service across all industries.

Predictive Analytics Platform

Machine learning models for forecasting, risk assessment, customer behavior prediction, and proactive decision-making.

Where to start

Not sure where AI pays off first?

Most organizations have three or four candidate use cases and no agreed way to rank them. A short discovery engagement gives you a prioritized shortlist, a reference architecture and a realistic estimate.