AI in production without years of committee. Alternative to big four and to in-house build.
We work with Spanish large companies where the barrier is organisational, not technical. Our approach: acotated pilots with a single sponsor, scalable architecture, regulatory compliance from design, and knowledge transfer to your internal team or Centre of Excellence.
The proposal arrives full of PowerPoint, reference architecture and time-to-value incompatible with business rhythm.
Your internal team has 40 priority initiatives. AI launches and stops. And launches again when the CIO changes.
Data that can't leave the bank/insurer/hospital. Pilots run on synthetic data and convince no one.
AI Act, DORA, sectoral. Without clear governance, each initiative reinvents policies and none moves beyond pilot.
Acotated scope, fixed price, guaranteed timeline. No big-consultancy corporatism or freelancer improvisation.
Before signing we require a single sponsor with decision capacity and assigned budget. No committee of committees, no internal politics slowing down.
Three parallel tracks: business case with quantified ROI, technical architecture with your IT team, regulatory evidence with your compliance.
Deployment in your European cloud or on-premise. Real data under NDA + processing agreement. Business and regulatory metrics real-time.
Training, technical documentation, operational and audit procedures. Your internal team or Centre of Excellence takes over operation.
We\'d rather refuse a project we won\'t execute well. We publish this list to save you and us time.
Invented cases with metrics consistent with our real ranges.
Assistant with access to portfolio, history and market. On-premise over open-source models. Drafts emails, prepares meetings, alerts rebalancing. Audit ready.
Agent ingests multi-channel, extracts data with human validation, escalates when confidence <90 %. Pilot in one line, scales to 4 lines in 6 months.
Custom model for 120k SKU catalogue in 8 markets. Integrated with ERP and CDP. Cross-channel personalisation (online + offline).
Three concrete advantages: time, focus and cost per result. We put a pilot in production in 3 months; the big four is usually still in RFP and discovery during that time. Our teams are senior from day one; big four typically mixes seniors in proposal with juniors in execution.
Our cost per implemented use case in production is between 3x and 8x lower than big four for the same real scope. The trade-off: we don't offer the horizontal "coverage" of a 12-month transformation. We're specialists in applied AI with operational impact.
For initiatives where you're interested in opting for a large consultancy for political reasons or global reference, we can work as technical partner under their umbrella if it adds value to the project.
Yes. We have professional civil liability insurance covering enterprise projects. We sign NDA, processing agreement under GDPR, and service level agreements (SLA) with agreed metrics and penalties.
For regulated sectors (banking DORA, health, insurance DGSFP) we design with regulatory evidence as first-class deliverable. Documentation is suitable for regulator inspection and internal / external audits.
We provide references from previous projects under NDA when sales requires it.
Handover is planned from project start (not an annex). Exhaustive technical documentation, structured training for receiving team (4-12 sessions depending on complexity), operational and audit procedures.
When the CoE is nascent, we help define the operating model: roles, governance, initiative lifecycle, prioritisation and metrics. We can also act as external technical partner while the CoE matures.
The goal is that in 12-18 months your team can maintain and expand solutions without critical dependency on us.
Yes, and it's how we recommend working. Pilots with synthetic data poorly convince decision committees. We sign NDA + processing agreement + impact assessment (DPIA) when applicable.
For banking/health/insurance we deploy in your on-premise infrastructure or European cloud with Spain residency (Azure Spain, GCP Madrid, OVH). Never regulated data on public third-party API.
Models can be open-source deployed in your infrastructure or commercial models with enterprise no-retention contracts (Azure OpenAI, Anthropic Bedrock, Google Vertex).
Typical project for enterprise and large companies: €80–500k per initiative. Free 30-min diagnosis. Acotated scope, no scope creep, no annual contract.
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