VOICE / VISION / PREDICTIVE / KNOWLEDGE / AGENTIC
We design and integrate private, multilingual, controllable AI systems for banks, insurers, institutions and organizations handling sensitive data and operations.
A customer request to understand. A file to check. Workloads to anticipate. Knowledge to retrieve. An authorized action to perform. We start with these real situations to choose the right technologies and controls.
A customer starts a request in Darija, adds a term in French and expects a clear answer. A voice assistant can handle the language switch, understand the request, route it and respond verbally — or hand it over to an advisor.
Automatic speech recognition (ASR), text-to-speech (TTS), language understanding, conversational assistants and Darija, the Moroccan Arabic dialect.
An identity document or supporting document enters an onboarding workflow. Vision components detect the document, extract relevant fields, read the MRZ when present and flag discrepancies for review.
OCR Identity, Computer Vision, Document AI and rule-based checks. These building blocks can support the document-processing steps of KYC or onboarding, alongside the organization’s own controls and decisions.
An operations team needs to forecast incoming case volumes. Predictive models analyze historical patterns, identify deviations and help allocate resources before processing delays become critical.
Data Engineering, Machine Learning, forecasting, scoring, time series and anomaly detection.
An employee needs to find the applicable rule in internal policies and documents. An assistant retrieves relevant passages, builds an answer grounded in those sources and respects access permissions.
Semantic search, private RAG, LLMs, document extraction and source traceability.
An agent prepares a record update in a business application. Before any change, checks independent of the model verify permissions and rules. Where required, an authorized person approves the operation; execution remains traceable.
Agentic systems, workflow orchestration, execution policies, testing, supervision and human approval.
We cover the spectrum of applied AI, from predictive models to multimodal and agentic systems. These disciplines are strongest when designed together around enterprise data, operations and information systems.
ASR, TTS, speaker diarization, NLP, voice and conversational assistants. Handling accents, domain terminology, language switching, and meeting or conversation transcription, with special attention to Moroccan Darija.
OCR, Computer Vision, vision-language models (VLMs), image and document understanding, structured extraction and consistency checks. Our OCR Identity demonstrator explores document detection, orientation and OCR/MRZ reading.
Data preparation and quality, Machine Learning, statistical models, classification, scoring, forecasting, time series and anomaly detection. Models evaluated for their practical value in business processes and decisions.
LLMs, specialized models, RAG, semantic search, extraction and structured generation. Systems that connect answers to authorized sources and reveal uncertainty when it matters.
Agents connected to enterprise tools and APIs, orchestration, workflows and human oversight. Agentic Assurance & Control Engineering governs permissions, actions, quality and security tests, traces, recovery and shutdown mechanisms.
Conversations rarely stay within one language. A sentence may begin in Darija, the Moroccan Arabic dialect, continue in French and include Modern Standard Arabic or industry-specific terms.
Handling this requires more than a language selector: contextual speech recognition, relevant terminology, code-switching support and evaluation on representative recordings — especially for names, numbers and technical terms. Fidelity to what was actually said matters more than polished rewriting.
We also use freely available and open-source models and components for French, English, Spanish, Arabic and other languages, checking their quality for each use, from transcription to speech synthesis.
Illustrative phrases only; no real audio recording or performance claim.
An impressive demo does not guarantee real-world reliability, security or integration with existing applications. We engineer the whole system: data, software, models, rules, controls and operations.
Identify the decision or process to improve, the available data, constraints and expected outcomes.
Combine deterministic rules, statistics, Machine Learning and generative models. Do not assign to an LLM a rule that software can enforce verifiably.
Measure errors on representative cases, test exceptions, security and unexpected behavior; define the required human reviews.
Connect enterprise tools, manage versions, observe execution, and plan for incidents, recovery and evolution.
The model may propose or prepare an action; permissions and critical rules remain under explicit control, independent of the model.
When confidentiality or regulation requires it, we design systems hosted and executed entirely in the client’s environment, without mandatory external AI services.
Identities, permissions, segmentation, execution policies and approvals aligned with the sensitivity of each operation.
Identifiable sources, quality measures, execution traces, uncertainty handling and the ability to review or correct outputs.
Open standards, open-source components where appropriate, model choice, interoperability and reversibility designed into the architecture.
Sovereignty is measured by what an organization can host, control, audit and evolve.
An information systems architect and technology leader, Oussama Mojahed brings over 25 years of experience designing and delivering software and data systems. His guiding principle is simple: AI must solve a real problem and remain controllable once integrated into operations.
View the founder’s professional profileAround this technical leadership, we bring together expertise in Data Science, AI, Software Engineering, integration, quality and security. The same standards apply from initial experiments to production: architecture, testing, integration and accountability for results.
A voice-assistant demonstration in Darija and French, together with the OCR Identity demonstrator, illustrate how we build and test components before adapting them to real business needs.
Multilingual voice processing? Documents to understand? Forecasting that needs improvement? Agents to connect to enterprise systems without losing control?
We can examine your use case, assess potential approaches and define a practical path toward a proof of concept or implementation.