OUR SUCCESS STORIES

Challenge

Global construction equipment manufacturer needed to unlock AI potential across manufacturing and sales processes. Complex workflows and legacy systems created barriers to adopting modern AI solutions.

Solution

End-to-end AI strategy from initial workshop to production-ready solution. Integrated GenAI into core business processes, combining deep technical expertise with genuine understanding of industry challenges.

Results

Measurable improvements in process efficiency across manufacturing and sales. Seamless collaboration from strategy to deployment with production-ready AI systems.

Challenge

Financial departments were burdened with manual, repetitive processes — from invoice reconciliation and budget forecasting to compliance reporting. Scattered data across ERP systems made it difficult to get a unified financial picture in real time.

Solution

Deployed a multi-agent AI system where specialized agents handle invoice processing, anomaly detection in transactions, automated reporting, and budget forecasting. The agents collaborate autonomously, escalating only edge cases to human reviewers.

Results

• 80% reduction in manual financial processing
• Real-time budget visibility across 12 business units
• Month-end close reduced from 5 days to 1 day

Challenge

Unplanned network equipment failures were causing service outages and costing millions annually. A reactive maintenance approach meant issues were only addressed after they impacted customers, leading to SLA breaches and churn.

Solution

Deployed ML-based anomaly detection on telemetry data from thousands of network nodes. Built a real-time monitoring dashboard with predictive alerts and automated escalation workflows to detect failures before they happen.

Results

• 40% reduction in unplanned downtime
• 15% decrease in maintenance costs
• Real-time monitoring across thousands of network nodes

Challenge

Identifying promising drug candidates for rare diseases is extremely costly and slow. Traditional screening methods produce limited chemical diversity, and many ligand variants fail in later stages — creating bottlenecks in the early discovery pipeline.

Solution

Built a generative AI pipeline that produces novel ligand variants optimized for target protein binding. The system leverages molecular generation models to explore vast chemical spaces, scoring candidates for drug-likeness, toxicity, and synthesizability before wet-lab validation.

Results

• 10x more candidate molecules generated vs. traditional methods
• Hit rate in early screening improved by 35%
• Months saved in the pre-clinical discovery phase

Challenge

Investment teams were manually reviewing hundreds of property exposés, lease contracts, and due diligence documents. Extracting key metrics, comparing opportunities, and answering questions across document portfolios was slow and error-prone.

Solution

Deployed an agentic AI system with specialized agents for information retrieval, structured data extraction from exposés, and conversational document interaction. Users can chat with their document portfolio to instantly surface key figures, compare properties, and generate summaries.

Results

• Exposé review time reduced by 75%
• Instant answers from documents via natural language chat
• Structured extraction across 1,000+ property documents