Veritonix designs, builds and operates Generative AI and Large Language Model systems for organisations that need them to hold up under regulatory scrutiny and real operational load. Our work runs from foundation-model fine-tuning through to autonomous agentic workflows, and is delivered as production software rather than as a demo.
Veritonix is an AI-first software engineering firm based in Dubai, working with clients across the GCC, Europe and Asia. We work with enterprises that have moved past the experimentation phase and now need partners who can build systems that pass regulatory review, security review, and real operational load.
The work covers the full AI lifecycle: discovery, data preparation, model selection, fine-tuning, retrieval architecture, agent orchestration, deployment, evaluation and post-launch governance. The brief is consistent across engagements. Whatever we build has to be auditable and defensible in production.
We organise the work around the questions enterprise teams are actually asking right now. How do we deploy an LLM safely on our own data. How do we move agents from prototype to production. How do we govern model risk. How do we modernise what we already have. Every engagement is led by senior practitioners who own it from architecture through to outcome.
Custom LLM development, foundation-model fine-tuning, domain-adapted small language models, and Retrieval-Augmented Generation architectures. Systems grounded in your data and evaluated against your accuracy thresholds, deployable in cloud, hybrid or fully on-premise environments.
Multi-agent orchestration, conversational and voice assistants, and reasoning-driven process automation. Agent networks that execute multi-step business workflows end-to-end with deterministic guardrails, human-in-the-loop controls, and full traceability of every action taken.
Intelligent document processing, contract and policy extraction, regulatory analysis, and enterprise knowledge platforms. We combine OCR, vision-language models and LLM reasoning to turn unstructured corpora into queryable, governed knowledge assets.
Model risk frameworks, bias and safety evaluation, audit trails, content guardrails, and regulatory alignment including EU AI Act readiness and UAE Personal Data Protection Law compliance. Built in, not bolted on.
We are a specialist firm by design. Projects are not staffed with generalists. Critical engineering is not sub-contracted out. Prototypes are not handed over as if they were products. The work that we sign off on is the work that we operate.
Client identities are withheld under confidentiality. The summaries below describe scope and outcome only. Specific detail is available under non-disclosure on request.
A private, on-premise large language model serving compliance, credit and customer-operations functions across multiple jurisdictions, with full data residency.
A document processing platform handling multi-language shipping, customs and commercial paperwork at scale, with audit trails preserved for regulatory inspection.
Predictive and generative AI capabilities embedded into an existing ERP environment. Forecasting, supplier-risk scoring and procurement co-pilots delivered without replacing the underlying platform.
A re-architected security posture for an operationally sensitive client. AI-driven anomaly detection and a managed-services layer wrapped around existing controls.
A multi-channel conversational platform combining a fine-tuned LLM, biometric authentication and a fraud-detection layer. Deployed across mobile, web and contact-centre surfaces under one governance model.
An AI-enhanced marketplace covering personalised search, generative merchandising, dynamic pricing and seller co-pilots. Designed for cross-border deployment under multiple data-protection regimes.
The questions below are the ones we hear most often from enterprise procurement, security, legal and technology functions. The full set is on the FAQs page.
Engagements begin with a discovery conversation. Usually one or two sessions, with senior practitioners on our side and the relevant technology, business and governance stakeholders on yours. We use this stage to understand the business problem, the constraints, the data landscape and the regulatory environment. Only then do we propose scope, methodology, timeline and commercial structure.
No. Models, fine-tunes and embeddings derived from a client's data are used solely for that client. We do not pool, share or cross-train across clients.
No. We are model-agnostic and vendor-agnostic. Model selection is driven by the requirements of the use case (accuracy, latency, cost, data residency, deployment constraints, licence terms) and not by any existing commercial relationship of ours.
Under a written engagement agreement that defines data ownership, processing scope, retention, access controls and post-engagement disposition. Veritonix treats client data as belonging to the client at all times. Data is held only for the duration and purpose of the engagement, and is returned or destroyed on conclusion in accordance with that agreement.