ENTERPRISE AI PLATFORM

Operational AI for
enterprise decision-making.

Predict outcomes. Control risk. Automate action.

We design, deploy, and operate production-grade AI systems with monitoring, governance, and enterprise integrations — built for environments where failure is not an option. Every model is observable, auditable, and aligned with business outcomes — not demos, not experiments. From architecture to rollout, we engineer AI that executives can trust at scale.

Monitoring & Drift Detection Human-in-the-loop Auditability EU-ready practices
-18%
STOCKOUTS / SUPPLY GAPS
Typical results when forecasting + automation close the loop.
+11%
CONVERSION UPLIFT
Decision intelligence that prioritizes actions, not charts.
< 250ms
REAL-TIME DECISIONS
Low-latency signals for operations, pricing, and risk.
TRUSTED BY TEAMS ACROSS INDUSTRIES
GDPR AUDIT LOGS RBAC MONITORING
AEGEAN RETAIL
IONIC LOGISTICS
NOVA FINANCE
OMNI HEALTH
ATLAS MANUFACTURING
POLAR ENERGY SYSTEMS
DELIVERY
8–12 week production rollout
COMPLIANCE
Audit logs, RBAC, retention controls
INFRA
Cloud / On-prem / Hybrid

Capabilities built for enterprise outcomes

Operational systems that deliver measurable impact, controlled risk, and clear ownership in production.

INTELLIGENCE

MEASURE

Transform raw data into executive-ready insight — with metrics connected to revenue, cost, and risk.

AI-Powered Analytics
Dashboards that explain drivers, not just numbers — with KPI ownership.
Automated Forecasting
Demand, revenue, inventory, staffing — with scenarios and confidence.
Computer Vision Intelligence
Retail & operations signals (footfall, dwell, queue, conversion).

TRUST & CONTROL

DE-RISK

Enterprises don’t fear AI — they fear silent failure. Models become observable, auditable, and controllable.

ENTERPRISE-GRADE RELIABILITY LAYER
Model Monitoring & Drift Detection
Detect drift, data shifts, and degradation in real time — before impact occurs.
Fraud Detection & Anomaly Alerts
Proactive detection of abnormal behavior and emerging risks.
Governance & Auditability
Versioning, approvals, lineage, and traceable decisions for compliance.

ACTION

EXECUTE

Move beyond analytics to operational leverage: recommendations, orchestration, and real-time automation.

Decision Intelligence
Prioritized actions with rationale, constraints, and measurable impact.
AI Agents & Process Automation
Agents that monitor signals, trigger actions, and optimize workflows in real time.
Custom AI Models & Pipelines
From ingestion to deployment — engineered for uptime and maintainability.

Enterprise trust is engineered — not promised

Adoption accelerates when AI is observable, controllable, and governed. The guardrails make AI safe to scale.

WHAT MAKES THIS ENTERPRISE-GRADE
Production-first delivery Designed for latency, failure modes, and operational ownership from day one.
Observability by default Telemetry, monitoring, drift alerts, and incident playbooks are part of the system.
Auditability & traceability Model versions, decision logs, and data lineage to support governance.
HOW RISK IS REDUCED
Human-in-the-loop controls Thresholds, approvals, and safe overrides for mission-critical decisions.
Secure integrations Connectors to ERP/CRM/POS/data platforms with least-privilege patterns.
Rollout paths & rollback Shadow mode, validation, canary releases — with clear fallback strategies.

How we work

A structured, outcome-driven delivery model — aligned to stakeholders and operations from discovery to live monitoring.

01
DISCOVERY

Decision points, risk, data readiness, KPI definition, and success criteria.

02
BUILD

Models, pipelines, validation, baselines, monitoring hooks, and alert thresholds.

03
INTEGRATE

ERP/CRM/POS, data lake, edge, and workflows — with secure controlled access.

04
OPERATE

Live monitoring, drift detection, continuous optimization, and change management.


Talk to an AI Architect — not a Salesperson.

Get an executive-ready briefing: architecture options, risk controls & integration plan.

WHAT YOU GET
EXECUTIVE BRIEF
  • Architecture options tailored to your systems
  • Model lifecycle(validation → deployment → monitoring)
  • Integration plan (ERP/CRM/POS/data platforms)
  • Human-in-the-loop(approvals, overrides, safe modes)
  • Security posture(RBAC, least privilege, secrets management)
  • Governance & auditability(decision logs, versioning, lineage)
  • Performance targets(latency, throughput, SLAs/SLOs)
  • Rollout strategy(shadow mode → canary → full release)
  • Incident response plan(alerts, escalation, rollback paths)
  • Delivery timeline with milestones(8–12 weeks typical)
  • Clear next actions(what we need + how we start)
RESPONSE
Typically within 1 business day
ADDRESS
207 Regent Street, London
Request Executive Briefing
Secure submission to our intake system.
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