What We Build
End-to-end capabilities spanning AI systems, automation, cloud infrastructure, and custom software.
Document Intelligence
RAG pipelines, OCR, and structured data extraction from unstructured documents across languages and formats.
Intelligent Automation
Agentic workflows and process automation that reason, plan, and execute multi-step business tasks autonomously.
Knowledge Systems
Retrieval-augmented generation on your proprietary data — turning internal documents into queryable knowledge bases.
Customer Operations AI
AI-powered support, intelligent routing, and escalation systems that scale without linearly scaling headcount.
Cloud Architecture
Right-sized cloud setups designed for AI workloads — secure, cost-efficient, and built to scale with your business.
DevOps & CI/CD
Automated build, test, and deployment pipelines with monitoring, alerting, and infrastructure-as-code.
Custom Software Development
Web apps, mobile apps, APIs, and backend services — built from scratch or extending your existing systems. No AI required.
Industries We Serve
Domain expertise across sectors where AI and automation deliver measurable impact.
Manual reconciliation, compliance overhead, and siloed data across banking systems.
- → Automated multi-system reconciliation
- → Compliance document processing
- → Real-time anomaly detection pipelines
High-volume document processing, customs forms, and limited end-to-end visibility.
- → Intelligent document extraction (BOL, invoices, customs)
- → Multi-language OCR and classification
- → Supply chain visibility dashboards
Support that can't keep up with growth, manual order workflows, and scaling infrastructure costs.
- → AI-powered customer support at scale
- → Order processing automation
- → Serverless, auto-scaling infrastructure
Knowledge trapped in documents, repetitive drafting, and scattered analytics.
- → Internal knowledge bases with semantic search
- → Automated document drafting and review
- → Client analytics and reporting pipelines
How We Work
A proven three-step process that delivers results without surprises.
Audit & Architect
We analyze your systems, identify bottlenecks, and design the optimal solution architecture.
Engineer & Build
Our team builds and tests in agile sprints with transparent progress updates.
Deploy & Support
We deploy to production, monitor performance, and provide ongoing optimization.
What This Looks Like in Practice
Representative scenarios showing how we approach real-world challenges.
Intelligent Document Processing
Situation
A logistics company processes thousands of shipping documents, customs forms, and invoices daily across multiple countries. Manual data entry creates bottlenecks, errors, and compliance risks.
Our Approach
A production RAG pipeline that ingests, classifies, and extracts structured data from unstructured documents. Multi-language OCR feeds into fine-tuned embedding models, with LLMs handling semantic extraction per document type. A human-in-the-loop interface catches low-confidence results and feeds corrections back into the system.
Expected Outcome
Near-human extraction accuracy with sub-minute processing per document, eliminating the manual bottleneck and reducing compliance exposure.
AI-Powered Customer Operations
Situation
A growing SaaS company sees support volume outpacing hiring. Response times climb, resolution quality drops, and churn follows.
Our Approach
A multi-agent platform where specialized AI agents handle distinct inquiry types — order tracking, returns, billing — coordinated by intent classification. Each agent draws from a structured knowledge base with semantic search, composing contextual responses from customer history and policy documents. Complex cases escalate to humans with full context.
Expected Outcome
Automated resolution of routine inquiries in seconds, with intelligent escalation preserving quality for complex cases — support scales without linearly scaling headcount.
End-to-End Financial Reconciliation
Situation
A financial firm reconciles transactions across multiple banking systems. The monthly close takes weeks of analyst time, and discrepancies slip through manual review.
Our Approach
Automated reconciliation pipelines that ingest data from disparate systems via secure APIs, normalize formats into a unified schema, then apply multi-pass matching — exact, fuzzy, and LLM-assisted. Anomaly detection flags unusual patterns for immediate review, while exception workflows route unmatched items through prioritized queues with AI-generated explanations.
Expected Outcome
Monthly close reduced from weeks to days with near-perfect matching accuracy, freeing analysts for strategic work instead of data entry.
Every Solution Is Custom-Built
We don't sell pre-packaged products or reskin templates. Every engagement starts with your specific challenge, and the architecture is designed around your constraints — data, compliance, scale, and budget. We're technology-agnostic, EU-based, and GDPR-compliant by default. The result is a system you fully own and can evolve.