Data and intelligence

Data and intelligence — collect, structure, and leverage what flows in your market.

Our Data products turn scattered signals into actionable intelligence: automated competitive intelligence, multi-source aggregation, sector indicators. Industrialized, delivered to banking and consulting clients. Open architecture, native data compliance, readable governance.

Delivered Data products

Each is industrialized. Flagship solutions run at our banking (weekly competitive intelligence) and consulting clients.

Delivered

Social Media Data — Extraction and analysis

Structured social data serving your commercial intelligence.

Goal

Get weekly structured social data to drive your marketing decisions.

How ·Multi-network ETL collection respecting ToS/GDPR + normalization + data warehouse delivery + recurring reporting.

Structured collection of public data from social networks in strict compliance with terms of use and GDPR. Cleaned, normalized data exported to your analytics tools or data warehouse. MCP-first architecture orchestrated through our ATLAS-Agentic methodology.

Key features

Structured extraction from social APIs and public sources
Automatic normalization and cleaning
Sentiment and trend analysis
Export to data warehouse or analytics tools
Compliance with GDPR and platform terms of use

Technologies

Social APIs, ETL orchestration, data warehouse.

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Delivered

Desktop AI Terminal — Unified local interface

Analyst productivity on local workstation, sensitive contexts mastered.

Goal

Give your analysts the power of AI without your sensitive data transiting through the cloud.

How ·Desktop app integrating cloud and local LLMs + business tools + confidentiality preserved on sensitive contexts.

Desktop application integrating multiple AI models and business tools in a unified interface. Local confidentiality for contexts where data must not transit through the cloud.

Key features

Multi-model desktop interface (cloud and local)
Local confidentiality for sensitive data
Business tool integration (CRM, ERP, document base)
History and resumption of work sessions
Per-user profile customization

Technologies

Desktop application, cloud and local AI models, API integrations.

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In progress / available

Enterprise document RAG

AI-augmented search on your document heritage — no hallucination, with sourced citations.

Goal

Find precise information in your document estate by asking a question, with citation of the source document.

How ·Multi-source vector indexing + LLM with guardrails + journaling + fine-grained access control.

RAG (Retrieval-Augmented Generation) platform connected to your internal sources (legal, HR, technical, contracts, regulatory, finance, accounting). Sourced responses with document citations, complete logging, access control, quality and confidentiality audits. Cross-functionally deployable across all enterprise functions.

Key features

Vector indexing of your document heritage
Sourced responses with verifiable citations
Role-based access control and per-document confidentiality
Complete logging of prompts and responses
Continuous quality bench and drift detection

Technologies

LLM (Claude, GPT, Mistral), pgvector, Pinecone, custom indexing, orchestration with guardrails.

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Internal test

Lotus Notes / HCL Domino estate recovery

Recover and make usable a Lotus mail history that nobody in the company can open any more.

Goal

Recover the decision history locked inside a Lotus mail system before switching it off.

How ·Extraction through the Domino server + intact attachment recovery + automatic classification by business topic.

Many companies keep a Lotus Notes / HCL Domino server on life support for one reason only: years of exchanges, decisions and attachments are locked inside it. The usual reflex — grab the `.nsf` files and open them elsewhere — is a dead end: **the content of an `.nsf` is encrypted by Domino and holds no usable text outside the server**. Our approach starts from the opposite fact: the server itself renders the decrypted content to an authenticated user. We therefore extract the estate through that path — messages, views and attachments — then classify it by business topic to turn it back into usable material: a searchable archive, a knowledge base, or an input corpus for document RAG.

Key features

Extraction through the Domino server (authenticated session), with no dependency on the encrypted .nsf format
Reading of database views and automated traversal of received and sent messages
Recovery of each message's readable body, stripped of webmail markup
Download of intact, openable attachments (PDF, office documents, archives)
Automatic classification of messages by business topic, flagging exchanges with commercial or contractual stakes

Technologies

HCL Domino / iNotes, HTTP extraction over an authenticated session, traversal of views and documents, attachment recovery, automatic topic classification.

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Concrete use cases

Three concrete cases, three contexts.

Anonymized per client preferences. Ask for access to detailed files under NDA.

Universal bank — MENA

Weekly automated competitive intelligence

Aggregation of LinkedIn, Facebook, and Instagram publications from competitor banks. Engagement and theme analysis. Weekly delivery of a PDF report and PPTX presentation ready for committee.

In production

Consulting and digital analysis — North America

White-label audit platform delivered to a market player

Mutualized architecture for industrialization. Platform operated under the player's brand with its own KPIs and scoring framework.

In multi-client production

Think tank and economic institute

Native desktop application for non-technical teams

Democratization of advanced AI assistant usage for non-technical teams. Simultaneous multi-projects, session history, model selector.

In production

Who it is for

Three profiles, one common need: take AI to production.

Chief Data Officer

You want to transform scattered signals (web, social, internal) into indicators usable by business teams. Without a multi-year data warehouse project.

Marketing and competitive intelligence

You track competitors manually. Weekly automated intelligence frees up 4 to 8 hours per week and structures committee arbitration.

Consulting and research leaders

You produce recurring client reports. The white-label platform industrializes your delivery without breaking your brand or framework.

How it starts

Four steps from scoping to production.

Applied ATLAS-Agentic methodology: seven full steps documented on the dedicated page.

Free initial scoping

30-minute to 2-hour workshop to understand your challenges, identify the priority use case, and define success indicators. No commitment at this stage.

Design and architecture

Technical choices, vendor-neutral per step, integration into your existing ecosystem. Documented decisions.

Industrialized pilot

Real solution running on limited scope, with full logging and operational dashboards.

Run and iterations

Continuous supervision, tuning, progressive expansion. You keep control, we keep the solution stable.

See the ATLAS-Agentic methodology

Frequently asked questions

What leaders ask.

What is the difference vs a standard market intelligence tool?+

Standard tools bring back noise. Our solutions are designed bespoke: allowlisted sources validated with you, KPIs specific to your committee, delivery format (PDF, PPTX, dashboard) adapted to your reading. No 10,000-source catalog, but 30 to 100 sources that truly matter.

What level of customization is possible?+

Each deployment adapts sources, KPIs, scoring, and output format. The white-label platform operates under your brand with your own framework. The product is modular by construction.

How do you ensure GDPR compliance?+

Data flow mapping by design, configurable regional hosting, personal information filtering, access logging. Sensitive deployments (banking) are audited before production.

Timeline?+

Scoping 2-3 days, pilot 4 to 8 weeks depending on integration complexity. The white-label platform can be reused faster for a new client if the mutualized architecture applies.

Do you have a priority Data use case to explore?

Free initial scoping, 30 minutes to 2 hours, with a solution lead adapted to your sector.

See our full agentic approach →

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