AI development that survives contact with production
We design, build and operate enterprise AI systems — agentic workflows, retrieval-augmented assistants, fine-tuned models and computer vision — for organisations in the UAE, Saudi Arabia, the GCC, USA, Canada, UK and India.
What enterprise AI development actually involves
A convincing AI demo takes a fortnight. An AI system your operations team trusts at nine in the morning on a Monday takes considerably more: retrieval that returns the right document rather than a plausible one, evaluation that catches regressions before your users do, guardrails against prompt injection and data leakage, cost ceilings, and a human approval path for anything consequential.
That gap is where Inovsion works. Our AI engagements start with a discovery phase that tests whether your data can actually support the use case, then move into build with evaluation harnesses and observability in place from the first sprint. We deploy on Azure AI Foundry, AWS Bedrock, Google Vertex AI or self-hosted open-weight models — chosen against your residency, latency and unit-economics constraints rather than a house preference.
For clients in the Gulf, Arabic capability is not an afterthought. We handle Arabic tokenisation, dialect variance, mixed Arabic-English documents and right-to-left interfaces as first-class engineering concerns, because retrofitting them later is where most regional AI programmes lose a quarter.
What we build
Six AI capabilities, all delivered to production standards.
Agentic AI & Multi-Agent Systems
Autonomous agents that plan, call your APIs, write to your systems of record and escalate to a human when confidence drops. Built with LangGraph, Semantic Kernel and the Model Context Protocol, with full trace logging on every decision.
RAG & Knowledge Assistants
Retrieval-augmented generation over your contracts, SOPs, tickets and policy libraries. Hybrid semantic plus keyword retrieval, re-ranking, citation enforcement, freshness controls and permission filtering that mirrors your existing access model.
LLM Fine-Tuning & Model Selection
When prompting is not enough: LoRA and full fine-tunes on domain data, distillation for latency, and rigorous benchmarking so you deploy the smallest model that meets the bar rather than the largest one available.
Conversational AI & Chatbots
Bilingual Arabic-English assistants across WhatsApp Business, web, voice and Microsoft Teams — grounded in your knowledge base, integrated with your CRM, and honest about what they do not know.
Computer Vision & Document AI
Arabic and English OCR, Emirates ID and invoice extraction, contract clause detection, defect inspection and safety monitoring — deployed at the edge or in your cloud tenant.
AI Governance, Safety & MLOps
Evaluation suites, red-teaming, PII redaction, prompt-injection defence, drift monitoring, model registries and audit trails built for regulated industries and regional data law.
Use cases we have shipped
Concrete applications, not category names.
- Bilingual customer-support assistants resolving first-line queries without escalation
- Contract and tender analysis surfacing obligations, deadlines and risk clauses
- Clinical and lab report extraction into structured records with human review
- Invoice, purchase order and customs document processing at scale
- Sales-proposal and RFQ drafting grounded in your pricing and past submissions
- Internal knowledge search across SharePoint, Confluence, email and file shares
- Demand forecasting and anomaly detection on operational data
- Quality inspection and defect classification on production lines
- HSE monitoring for PPE compliance and restricted-zone breaches
- Automated compliance reporting with citation-backed evidence
Why teams choose us for AI
Four commitments we hold to on every engagement in this practice — and that you can hold us to.
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01
Discovery that can say no
Our discovery phase tests data readiness before you commit budget. If the use case will not work, we tell you in week two rather than month five.
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02
Evaluation before deployment
Every system ships with a held-out evaluation set and automated scoring, so you know the accuracy number and can watch it over time rather than hoping.
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03
Arabic engineered in, not bolted on
Tokenisation, dialect handling, mixed-script documents and RTL interfaces are designed from the start — the difference between a system Gulf users adopt and one they route around.
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04
Your data stays where you need it
In-region deployment on Azure UAE North, Saudi regions, AWS Bahrain, or entirely within your own tenant or data centre using open-weight models.
A delivery model that de-risks the unknown
Fixed-scope discovery, then iterative delivery with working software in your hands every two weeks.
Discovery & Framing
Two to three weeks. We map the process, quantify the opportunity, test data readiness and return a costed architecture — yours to keep either way.
Architecture & Design
Solution architecture, security model, data flows, integration contracts and UX design, reviewed with your technical and compliance stakeholders.
Senior-Led Build
Two-week sprints, demoable increments, automated tests and CI/CD from sprint one. You see progress in a real environment, not a slide.
Validation & Hardening
Model evaluation, load and penetration testing, guardrail tuning, UAT with your users and a documented go-live runbook.
Launch, Support & Evolve
Managed go-live, 24/7 monitoring, cost optimisation and a quarterly roadmap so the platform keeps compounding value.
The stack we build production systems on
Chosen for longevity and total cost of ownership — never for novelty.
Model choice is a routing decision, not a loyalty test. Frontier models sit behind an abstraction so a cheaper — or in-region — model can take over a step without a rewrite, and every call is logged with its prompt version, latency and cost.
Infrastructure is code from the first week — no console clicks nobody can reproduce. Terraform describes the estate, containers carry the workloads, and the pipeline that deploys to production is the same one every engineer runs locally.
A lakehouse only earns its keep with governance. Bronze, silver and gold layers with contracts on the interfaces, tests on every transform, and lineage you can put in front of an auditor without a week of preparation.
.NET and TypeScript carry most of what we ship. Both have published support horizons, deep hiring pools across the Gulf and India, and no licensing surprise waiting three years out. Python joins them wherever the work is closer to the model than to the browser.
One codebase where the product allows it, native where the hardware demands it. Right-to-left layout, offline-first sync and store compliance are designed in at the start — each one is expensive to retrofit and all three are non-negotiable for a Gulf launch.
The value is rarely in the model — it is in the writeback. We connect to the ERP, CRM and ticketing systems the business already runs, with idempotent handlers, replay on failure and a dead-letter queue somebody actually watches.
Where we deliver
A Gulf-headquartered team with an India delivery centre — overlapping working hours with the Middle East, Europe and North America.
United Arab Emirates
Our regional headquarters in Dubai serves banking, healthcare, logistics and government-linked entities, with UAE PDPL-aligned delivery and Azure UAE North residency.
Saudi Arabia
AI and automation programmes supporting Vision 2030 mandates — Arabic-first systems, SDAIA guidance and in-Kingdom data residency options.
Wider GCC
Qatar, Kuwait, Oman and Bahrain engagements delivered from Dubai, with on-site workshops and Arabic-speaking solution architects.
United States
Cloud-native product engineering and AI enablement for US startups and mid-market enterprises, with overlapping EST and PST coverage.
Canada
AI, data platform and application modernisation work for Canadian firms, with data-residency aware architectures on Azure and AWS Canada regions.
United Kingdom
GDPR-aligned AI and software delivery for UK enterprises and scale-ups, from discovery through managed run.
India
Our Bengaluru engineering centre provides depth across AI, data and full-stack development at sustainable cost, under the same delivery standards.
Everywhere Else
Remote-first engagements across Europe, Africa and APAC, structured around your working hours and governance requirements.
Questions about AI and Generative AI
Agentic AI describes systems where a model plans a sequence of actions, calls tools or APIs to carry them out, observes the results and adapts. It is production-ready for bounded, well-instrumented processes — claims triage, document workflows, reporting, internal operations — where each action is logged, reversible or gated by human approval. It is not yet appropriate for unbounded autonomy over critical systems, and we will say so.
A general chatbot answers from what it learned during training. RAG retrieves your actual documents at query time and constrains the answer to that evidence, with citations. That makes answers current, specific to your organisation, and auditable — and it means your proprietary content never needs to be baked into a model.
Yes, and it is one of our differentiators. We handle Arabic tokenisation, diacritics, dialect variance, mixed Arabic-English documents, Arabic OCR and right-to-left interface design. We evaluate Arabic performance separately rather than assuming English benchmarks transfer.
No. We regularly deploy open-weight models via Ollama or vLLM entirely inside a client's network for sensitive workloads. Where a hosted model is appropriate, Azure OpenAI and AWS Bedrock offer contractual guarantees that your prompts are not used for training, with in-region hosting options.
Discovery is two to three weeks and separately priced. A focused production system — a RAG assistant, a document pipeline, an agentic workflow — typically runs six to twelve weeks and starts around US$25,000. Larger multi-use-case platforms run three to nine months.
We build drift monitoring and scheduled re-evaluation into every deployment. If quality drops below your agreed threshold, alerts fire and our support tier covers investigation and remediation — retrieval tuning, prompt updates or model changes as needed.
Let's build something your competitors cannot copy
Book a free 45-minute consultation with a solution architect. We will map your highest-value use case, sanity-check feasibility and send you a written summary — no obligation, no sales theatre.