AI-First Digital Transformation. From Manual Processes to Production AI.
The transformation companies need right now isn't a new dashboard or a cloud migration. It's AI that does real work in production.
Signal Iduna went from phone-and-paper insurance to a platform serving 300,000+ policyholders. Trusted Carrier went from manual document handling to 40,000+ documents processed weekly across 13 countries. Reperks went from 20+ hours of manual billing to a 10-15 minute AI-powered conversation. ZURI handles 400+ daily conversations qualifying luxury real estate buyers, so a 4-person sales team focuses on closing.
What AI-first transformation looks like
AI agents that do the work
Production AI agents on Anthropic Claude. Document processing, conversational AI, sales qualification, compliance automation.Reperks cut manual billing from 20+ hours to 10-15 minutes. ZURI qualifies 400+ daily conversations for a luxury real estate developer.Vera is our AI insurance automation platform, pre-configured for 9+ insurance lines. DocuFlow handles intelligent document processing for teams that need IDP without a custom build. Both run on HyperCore.Intelligent document processing
Classification-first pipelines for invoices, claims, contracts, and KYC documents. Human review when confidence is low.Faster cycle times, fewer errors, full auditability.Trusted Carrier processes 40,000+ documents weekly across 22 languages using this approach.Custom software and platforms
Cross-platform applications built with Flutter, .NET Core, Node.js, React.Systems serving hundreds of thousands of users with the reliability regulated industries demand.The foundation that AI agents plug into.Mobile app development
Production mobile apps on iOS and Android.Flutter-based cross-platform delivery with offline-first capability, real-time processing, and enterprise-grade security.Cloud migration and infrastructure
AWS-native architecture. Infrastructure as Code with Terraform.Serverless, containerized, and purpose-built for your workload.ISO 27001 security controls throughout.Legacy system modernization
We move legacy applications to modern platforms and AI-ready architectures.API-first integration between old and new systems. Existing data and workflows aren’t disrupted during the transition.The goal isn’t just modernization. It’s building the foundation for AI agents that connect to your data.
Why teams choose HyperSense
The transformation most companies need isn’t another dashboard. It’s AI that does real work.
We don’t show slide decks. We show live systems you can test today.Reperks and ZURI are running in production right now.5,000+ eval assertions on every deployment. Classification-first pipelines. Deterministic validation for every AI decision.You own the IP from day one.20+ years of production delivery
We’ve built and maintained production systems since 2003.Our longest client relationship exceeds 10 years.That engineering depth is why our AI agents ship when 40% of agentic AI projects get canceled (Gartner, June 2025).4.9/5 on Clutch across 31 reviews.HyperCare post-launch support
Transformation doesn’t end at deployment.HyperCare is our post-launch support model: performance monitoring, model updates, and continuous improvement based on real usage data.Our longest engagements run 10+ years.Certified and compliant
ISO 27001 | ISO 9001 | GDPR Compliant | EU AI Act Ready | AWS PartnerUS and European offices
Chicago headquarters. Bucharest engineering. Time zone alignment for US and EU clients.Cross-industry AI experience
Insurance (Signal Iduna, 300,000+ policyholders), logistics (Trusted Carrier, 40,000+ docs/week), fintech (Tinka, 50,000+ users in 3 months), PropTech (Reperks, 98% time reduction), real estate (Vela Zanzibar, 400+ daily AI conversations).
Ready to put AI to work in your business?
Tell us about your operations, your current pain points, and where manual work is slowing you down. Walk away from the first call with a scoped plan, a timeline, and a cost estimate.
How we work
1.
Discovery and AI opportunity mapping
We start with your business goals, current systems, and pain points. Where are people doing work that an AI agent could handle? Stakeholder interviews, process analysis, data readiness assessment.
2.
Strategic planning
A roadmap with clear milestones, KPIs, and timelines. AI agents prioritized by impact and feasibility. Specific deliverables with dates.
3.
Iterative development on HyperCore
Agile sprints with regular demos. New AI agents and systems integrate with existing infrastructure. Eval-driven deployment with automated assertions on every code change. Minimal disruption to operations.
4.
Deployment with governance
Planned deployment with confidence scoring, human-in-the-loop controls, and compliance checks built in. Training for your team on working alongside AI agents.
5.
HyperCare ongoing support
Performance monitoring and continuous improvement based on real usage data. Model updates as AI capabilities improve. Our longest engagements run 10+ years.
Proof from production
Proptech
Reperks: AI agent cuts 20+ hours to 10-15 minutes
20+ hours reduced to 10-15 minutes per billing cycle. 1,000+ hours saved annually per operator. Anthropic Claude. The AI agent handles document processing, German legal compliance, and triple-validated calculations in a single conversation.
Real estate
ZURI: AI sales concierge handling 400+ daily conversations
400+ daily conversations. Visitor classification in 3 messages. 5,000+ eval assertions on every deployment. RAG grounded in actual sale agreements. Contact gating withholds the human handoff until buying signals are confirmed.
Insurance
Signal Iduna: from phone-and-paper to 300,000+ digital policyholders
300,000+ policyholders. 1,400+ clinics. 16% YoY premium growth. 2+ year engagement. Claims processing went from weeks to minutes. 1,400+ clinics bookable in under 60 seconds. 8-person team, Flutter + .NET Core + AWS.
Logistics
Trusted Carrier: from paper documents to 40,000+ digital docs weekly
40,000+ docs/week. 22 languages. 13 countries. 10+ year partnership. Three-product digital ecosystem for chemical logistics. AI-powered document classification and data extraction. ERP integrations with BASF and Henkel. 500+ carriers rely on the platform daily.
Automotive
Autoklass: legacy platform to 1 million organic views
1 million organic views. 40,000 monthly engagements. Angular with SSR. Custom e-commerce platform integrating Automaster, eMag, and Autovit. A legacy modernization that laid the groundwork for the AI-ready architectures we build today.
Insights into digital transformation
Agentic AI in insurance: beyond the chatbot
Most insurance AI projects never escape pilot purgatory. Learn why chatbots hit their ceiling and the architecture patterns for production AI agent deployment.
The Hidden Costs of AI Agent Development: A Complete TCO Guide for 2026
Your AI agent budget is probably 40-60% too low. From infrastructure to pilot purgatory, here’s the complete TCO picture every decision-maker needs before signing a contract.
Why 88% of AI Agents Never Make It to Production (And How to Be the 12%)
The demos impress. The pilots look promising. Then nothing happens. Discover why most AI projects die in pilot purgatory and what the successful 12% do differently.
Stay up to date with the latest digital transformation insights
Why teams choose HyperSense
The transformation most companies need isn’t another dashboard. It’s AI that does real work.
We don't show slide decks. We show live systems you can test today. Reperks and ZURI are running in production right now. 5,000+ eval assertions on every deployment. Classification-first pipelines. Deterministic validation for every AI decision. You own the IP from day one.20+ years of production delivery
We've built and maintained production systems since 2003. Our longest client relationship exceeds 10 years. That engineering depth is why our AI agents ship when 40% of agentic AI projects get canceled (Gartner, June 2025). 4.9/5 on Clutch across 31 reviews.HyperCare post-launch support
Transformation doesn’t end at deployment. HyperCare is our post-launch support model: performance monitoring, model updates, and continuous improvement based on real usage data. Our longest engagements run 10+ years.Certified and compliant
ISO 27001 | ISO 9001 | GDPR Compliant | EU AI Act Ready | AWS PartnerUS and European offices
Chicago headquarters. Bucharest engineering. Time zone alignment for US and EU clients.Cross-industry AI experience
Insurance (Signal Iduna, 300,000+ policyholders), logistics (Trusted Carrier, 40,000+ docs/week), fintech (Tinka, 50,000+ users in 3 months), PropTech (Reperks, 98% time reduction), real estate (Vela Zanzibar, 400+ daily AI conversations).
FAQs
What industries do you specialize in?
Insurance, logistics, fintech, proptech, and real estate. We have deep experience with regulated industries where AI agents need governance and compliance controls. Signal Iduna, Trusted Carrier, Reperks, and Vela Zanzibar are our primary proof points.How long does a typical AI transformation take?
Start fast, then expand. The AI Feature Sprint deploys your first AI agent in 4 weeks. Reperks AI agent MVP shipped in 6 weeks. Signal Iduna has been a 2+ year engagement. Trusted Carrier is 10+ years. We provide clear timelines before starting.What’s the ROI of AI-first transformation?
Specific to each case. Reperks delivered 98% time reduction (20+ hours to 10-15 minutes). Signal Iduna’s platform contributed to 16% premium growth. Trusted Carrier eliminated paper-based overhead across 13 countries. ZURI handles 400+ daily sales conversations that previously required human staff. We focus on measurable outcomes, not abstract projections.Do we need to rebuild everything to add AI?
No. Our AI agents integrate with your existing systems through API-first architecture. CRMs, ERPs, document stores, legacy databases. HyperCore handles the integration layer. You don’t need to rip and replace. You need a well-architected connection between your data and AI agents that can act on it.What AI models do you use?
We’re model-agnostic. Anthropic Claude, OpenAI, Azure, Gemini. We select the right model per task: simpler classification uses smaller, cheaper models while complex reasoning uses frontier models. You’re never locked into one provider.
Tell Us About Your Project
Describe what you're building, your timeline, your KPIs, and any technical constraints. We'll review your project and get back to you with a clear next step.Let's talk about your project