As a boutique data consultancy, we build the architecture that makes AI work at scale. Most pilots never reach production — not because of the model, but because the data isn't ready. We design solid foundations with data governance and measurable return on investment (ROI).
You invested in a chatbot, a copilot, a proof of concept. It works beautifully in the demo. Then you connect it to your real data — and it hallucinates, slows down, or simply doesn't deliver.
Your AI reads yesterday's data through overnight pipelines. By the time it acts, the moment has passed.
ERP, CRM, spreadsheets, legacy databases — your AI sees pieces, never the full picture.
No one knows which data is trustworthy. Your agents make decisions on unverified inputs.
The problem isn't your AI model. It's the data architecture beneath it — and that's exactly what we fix.
A Corporate AI Agent built by Solida Tech is an autonomous system capable of executing multi-step tasks, analyzing internal documentation, and interacting directly with ERPs and CRMs. It automates complex operational workflows and reduces execution times without compromising data security.
A fast, structured diagnostic of your data architecture and AI ambitions. You get a clear roadmap: what's blocking your AI, what to fix first, and an estimated ROI for each initiative. Actionable — whether or not you work with us after.
From a prioritized use case to a production AI agent integrated with your systems. We build the data foundation, deploy the agent, and measure business impact — KPIs your CFO cares about, not just technical uptime.
A continuous relationship for organizations committed to scaling AI. Quarterly KPIs, prioritized roadmap, and senior architectural guidance as you expand from one agent to an AI-enabled enterprise.
The AI Readiness Assessment is designed for exactly that. In 2-3 weeks, you'll know what's possible, what it costs, and what to do first — no commitment beyond the diagnostic.
No 18-month transformations. No vague deliverables. A structured process where you see progress every step of the way.
We audit your data architecture, identify blockers, and map AI opportunities. You get a prioritized roadmap with ROI estimates.
We design the data foundation — governance, pipelines, and the structure your AI needs. Your first use case takes shape.
Your AI agent goes live, integrated with your real systems. We measure business KPIs, not just technical uptime.
From one agent to many. We prioritize the next use cases, optimize, and report quarterly on business impact.
When you work with a boutique, you work directly with the people who design and build your architecture — not a layer of account managers and junior consultants. That means faster decisions, deeper expertise, and zero knowledge lost in translation.
You work with the senior architect who designs your solution — not a sales team that hands you off to juniors after the contract is signed.
Our architects bring 20+ years of combined experience building data ecosystems for international enterprises across six sectors.
No layers of project managers, no bloated teams, no knowledge lost between meetings. Lean teams, clear accountability, faster delivery.
Oil & Gas · Pharma · Retail · Airlines · Finance · Healthcare · Utilities
Generative AI requires unified, clean, and governed data. Without a solid data architecture, AI produces hallucinations and inconsistencies. Solida Tech connects isolated systems to create a single source of truth that guarantees the ROI of automation.
Lakehouse Readiness: Bronze → Silver → Gold data layers.
Lakebase: serverless Postgres for operational + agent workloads.
Agent Orchestration: LangGraph workflows with governed, live data.
"AI agents are only as smart as the data infrastructure beneath them."
From raw data sources to AI agents — end-to-end on Databricks or Microsoft Fabric
See how the architecture powers real AI use cases — and the business impact they deliver.
Fragmented ERP, WMS, and logistics data unify in a Lakehouse, then flow into Lakebase for real-time inventory and demand decisions — powered by an AI agent that acts on live operational data.
Product catalogues, sales history, and client contracts land in the Lakehouse with vector embeddings. A LangGraph agent retrieves context in real-time, providing accurate commercial recommendations.
Projected based on sector benchmarks — your results will vary.
| Variable | Traditional Manual Process | Process Optimized with AI Agents |
|---|---|---|
| Execution time | Days to weeks, with manual bottlenecks | Minutes to hours, autonomous 24/7 execution |
| Error margin | High; dependent on human validation | Low; governed data and automatic validation |
| Scalability | Limited by team size | Limitless elasticity; hundreds of parallel workflows |
| Operating cost | Linear growth with volume | Decreasing marginal cost per automated task |
We process corporate information in private, isolated environments, with strict GDPR compliance. We apply end-to-end data governance — role-based access control, encryption in transit and at rest, and auditable traceability — to ensure your company's sensitive information is never used to train third-party AI models.
Private environments: your data stays in your infrastructure or dedicated tenancies, with no exposure to public models.
GDPR compliance: privacy-by-design policies, data minimization, and guaranteed data subject rights.
Zero external training: corporate data never feeds third-party AI models.
A first AI Agent pilot deploys in 8 to 12 weeks. We start with a maturity assessment (2-3 weeks) to define the data architecture and prioritized use case, then build and integrate the agent with your ERP and CRM systems.
We process data in private environments and apply rigorous governance: role-based access control, encryption in transit and at rest, traceability, and GDPR compliance. Corporate data is never used to train public AI models, ensuring full confidentiality.
Our Data Architecture integrates with the leading ERPs and CRMs on the market — SAP, Microsoft Dynamics, Salesforce, Oracle, among others — as well as legacy databases, spreadsheets, and proprietary APIs, unifying them into a governed Lakehouse.
Typical ROI is measured in reduced operational time (30-50%), fewer manual errors, and cost savings per automated process. In supply chain and commercial projects, clients recover their investment in 6-9 months, with direct impact on EBITDA.
We operate from technology innovation hubs to bridge talent and architectural vision.
Barcelona, España
Carrer del Perú 186, 08020 (El Clot / 22@)
Lima, Perú
Pasaje Santiago 2228, Jesús María. 15072
A 2-3 week diagnostic that tells you exactly what's blocking your AI — and what to do about it. No commitment beyond the assessment.
Message us on WhatsApp+34 644 003 422
