An Enterprise Agentic OS and four domain modules, delivered by GiT across the GCC. Built for prediction, proactivity, and sovereignty — so regulated organisations can see issues forming, act while options are open, and transform operations from reactive to continuous.
Quanterra OS is the foundation — orchestration, governance, and sovereign infrastructure for enterprise AI. Four modules run on top: Risk, Contract, Conform, and Engage.
The Enterprise Agentic OS. Orchestration, Auto-RAG intelligence, sovereign data handling, and native integrations into enterprise and government systems.
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AI-native ERM aligned to ISO 31000 and COSO. Live posture, early-signal detection, on-demand reporting.
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Contract intelligence and legal automation. Portfolio-wide visibility, proactive risk flagging, research with provenance.
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ISO and regulatory compliance, continuously monitored. Control drift detection, regulatory change tracing.
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Virtual agents, copilots, autonomous workflows. Bilingual AR/EN, with intent prediction and churn detection.
Read moreThe Enterprise Agentic OS for orchestrating AI across the business.
CDOs, CIOs, and Heads of AI.
Quanterra OS is the platform layer for enterprise AI — providing agent orchestration, a living knowledge base with provenance (Auto-RAG), policy-driven governance, and integrations into enterprise and government systems. It is the foundation every Quanterra module runs on, and a standalone operating layer for organisations running AI as a shared enterprise capability.
Up to 60% reduction in AI project implementation time through reusable components and shared infrastructure.
Up to 50% lower deployment and maintenance cost compared with disconnected AI projects running in parallel.
Every AI output is source-cited and traceable. Defensible under internal audit, external review, and supervisory scrutiny.
UAE-only data processing enforced by policy. Alignment with PDPL and DESC at the platform layer.
Model-agnostic and deployment-agnostic. Cloud, on-premise, or air-gapped. Switchable by workspace.
Shared context across agents allows anomalies to surface across domains, supporting early intervention before issues propagate.
Drag-and-drop design of autonomous agents and workflows. Domain experts build; engineers extend.
Living knowledge base with hybrid retrieval and provenance. Every AI response is source-cited.
UAE-only data processing by policy. PDPL and DESC frameworks enforced at the platform layer.
Run any LLM, open-weight, or domain-specific model. Cloud, on-premise, or air-gapped.
MCP-native connectors to ERP, CRM, ECM, public APIs, and UAE government platforms.
Dashboards, forensic audit trails, retries, and error recovery. Built for regulated scale.
AI-native enterprise risk management, aligned to ISO 31000 and COSO.
CROs, Heads of Risk, internal audit, and audit committees.
Quanterra Risk consolidates the enterprise risk register, control testing, and attestation workflows into a continuously updated environment — replacing spreadsheet-driven cycles and disconnected GRC tools with a single governed source of truth aligned to ISO 31000 and COSO.
Continuous visibility of enterprise exposure, not quarterly snapshots. Board decisions supported by current data.
Agents surface control failures, near-misses, and metric volatility as they emerge — enabling intervention before incidents materialise.
Structured RCSA workflow replaces email coordination. Evidence captured in place, aggregation automated.
Every attestation, change, and escalation timestamped and logged. Supervisors get a complete history on request.
ISO 31000 and COSO mapped into the control library. Assurance across frameworks without parallel processes.
Board and committee reporting generated in hours — with consistent taxonomy across business units.
Single source of truth with taxonomy, ownership, scoring, and lineage. Continuously updated.
Agents watch leading indicators — control failures, near-misses, metric volatility — flagging risks between cycles.
Structured Risk & Control Self-Assessment on workflow, not email. Aggregated reporting across business units.
Test plans, sampling, evidence, and effectiveness scoring — linked to the risks they mitigate.
Periodic attestations by control owners, first-line, and second-line. Timestamped, with audit trail.
Board and committee reporting aligned to ISO 31000 and COSO. Generate on demand.
Contract intelligence and legal automation for in-house legal teams.
General Counsel, Heads of Legal Operations, and CFOs.
Quanterra Contract is a contract intelligence and legal automation module covering the full contract lifecycle — clause extraction, policy and playbook deviation detection, obligation and renewal tracking, and AI-assisted legal research across agreements in multiple formats and languages, including Arabic and English.
Automated clause extraction and deviation detection removes manual first-pass review across high-volume agreement types.
Addresses the ~9% value leakage from inefficient contracting (KPMG/WorldCC) through active obligation and renewal monitoring.
Answers strategic questions — exposure, renewal risk, compliance — across thousands of agreements, not one at a time.
Template drift measured and enforced centrally. Approved positions applied consistently across business units and jurisdictions.
Every AI-assisted research output is source-cited through Auto-RAG. Reduces hallucination risk, supports review.
Renewal windows, obligation milestones, and emerging exposure patterns surfaced early enough for legal and commercial teams to intervene.
Automatically identify clauses, flag deviations from playbook, surface risk across incoming and existing agreements.
Continuous tracking of key dates, obligations, and renewal windows across every active agreement.
Compare drafts against approved templates. Measure drift across regions and business units.
Statutes, rulings, and internal precedent retrieved with citations, grounded in Auto-RAG.
Workflows, scheduling, and stakeholder communications across the matter lifecycle.
Continuous alignment checks against internal policy and applicable regulatory frameworks.
ISO and regulatory compliance, continuously monitored.
Heads of Compliance, Quality leaders, and ISO programme owners in regulated industries.
Quanterra Conform is a continuous compliance module covering ISO standards (including 9001, 27001, 31000, and 42001), sector-specific regulatory frameworks, and internal policy — with a unified control library, cross-framework mapping, automated evidence collection, and continuous regulatory-change monitoring across jurisdictions.
Continuous evidence capture replaces pre-audit reconstruction. Internal and external audits supported from live data.
Controls mapped once and reused across ISO, regulatory, and internal frameworks — eliminating duplicate work.
Deviations in control effectiveness surfaced as they occur, allowing remediation in advance of formal audits.
Supervisory updates tracked across jurisdictions and traced to affected controls — enabling action before rules become findings.
Structural improvements in evidence quality and control monitoring reduce the volume and severity of audit findings.
Live dashboards give leadership a current view of compliance effectiveness — not a point-in-time snapshot.
Map controls to ISO 9001, 27001, 31000, 42001, and sector-specific standards.
Crosswalk controls across regulatory frameworks. Surface overlaps and close gaps.
Continuous monitoring of control effectiveness. Deviations surfaced early, not at audit time.
Continuous evidence collection and attestation. Reduces audit preparation time and rework.
Track supervisory updates across jurisdictions. Flag downstream impact on in-scope controls.
Live dashboards on control effectiveness. Board-visible, not point-in-time.
AI-powered customer engagement — virtual agents, copilots, and autonomous workflows.
Heads of CX, COOs, contact centre directors, and digital service leaders.
Quanterra Engage combines virtual agents, agent copilots, and autonomous post-interaction workflows into a unified customer engagement layer — operating across voice, chat, email, and messaging channels, bilingually in Arabic and English, with human-in-the-loop controls and a full audit trail on every interaction.
30–60% reduction in service cost per contact (McKinsey) through virtual-agent containment and copilot-driven productivity.
20–40% reduction in Average Handle Time (McKinsey, Deloitte) through real-time knowledge retrieval and automated post-interaction work.
Up to 64% virtual-agent containment (IBM) with context-aware agents connected to enterprise systems — not scripted flows.
5–10% increase in CSAT / NPS (McKinsey, Gartner) through faster resolution and consistent cross-channel experience.
Continuous signal analysis identifies at-risk relationships in time for retention or remediation action.
Patterns across multiple customers surface systemic issues to operations before they escalate into broader incidents.
Context-aware virtual agents for routine enquiry containment. Intelligent escalation to human agents.
Real-time knowledge retrieval, summarisation, and next-best-action during live conversations.
Continuous analysis of conversation tone and journey patterns. Flag churn and dissatisfaction signals early.
Notes, CRM updates, routing, dispositions — completed autonomously after every interaction.
Voice, chat, email, and messaging. Unified context across channels. Arabic and English standard.
Escalation paths, override mechanisms, and supervisory visibility.
Most clients enter through one module — Risk, Contract, Conform, or Engage — and add the others as the platform proves out. The shared OS means every additional module deploys faster than the last. Tell us where you'd like to start.
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