AI
Agents on HyperCore, our own framework, with governance, evals and cost controls built in.
We build web and mobile apps that hold up in production.
You vibe-coded it. Great. Now let us make it solid and ready for market.
Custom software and production AI agents, engineered in Chicago and Bucharest since 2003.
- Web apps
- Mobile apps
- AI agents
- Insurance
- Logistics
- Leasing
- Fintech
- IoT
- E-commerce
- Car sales
- Proptech
- Telecom
A prototype proves the idea. Production is everything underneath it.
Scroll the drawing. Each spec on it is part of how we build: it goes in before launch, and it stays in after. HyperCare keeps it running: post-launch monitoring, model updates and improvements tied to your KPIs.
# production readiness
- ~ Your prototypeworks on the happy path
- eval suite passes5,000+ assertions on ZURI, every change
- deterministic checksmath and rules stay in code
- confidence scoringlow confidence goes to a human
- audit trailevery decision logged, ISO 27001
- cost controlsper-task models, token budgets
- monitoring after launchwe build it, we run it, we improve it
- › ready for marketwe build it, we run it
- 2003
- founded, Chicago and Bucharest
- 40+
- engineers and specialists
- 4.9/5
- on Clutch, 31 verified reviews
- 10+ yrs
- longest client partnership
Eleven services, three lanes. Start with the one you need.
Build
Web, mobile and custom platforms, designed and engineered by the same team that runs them after launch.
Shape and scale
Discovery and consultancy before the build, dedicated teams after it.
Built for clients who stay. Our longest partnership is over ten years.
Try our live AI agents. These are real production systems, not demo environments. agent.reperks.de · Talk to ZURI
Reperks cut a 20+ hour billing cycle to 10-15 minutes with an AI agent we built, after we rebuilt their MVP around it.
- 98%
- less time per billing cycle
- 1,000+ hrs
- saved a year, per operator
- 6 weeks
- to MVP, with a 5-person team
Signal Iduna
300,000+ policyholders on a health insurance platform we built and maintain.
Cross-platform across iOS, Android and web: appointment booking, digital claims, policy management. 100,000+ downloads, 1,400+ clinics, 16% year-on-year premium growth.
01 / 03 · Home on a phone
Trusted Carrier
40,000+ transport documents a week, 22 languages, 13 countries.
A three-product ecosystem for chemical logistics, integrated with BASF and Henkel facilities. A 10+ year partnership.
01 / 03 · Wallet home
Vela Zanzibar
ZURI handles 400+ daily conversations, checked by 5,000+ eval assertions.
An AI sales concierge that qualifies international property buyers, grounded in the actual sale agreements, and hands off to a 4-person sales team when buying signals are confirmed.
Tinka
50,000+ users in 3 months on a Flutter app with serverless AWS.
A buy now, pay later app with passwordless auth, fraud prevention and iDIN KYC. EUR 300,000+ monthly transaction volume.
01 / 05 · Card ready
AI agents we build. Custom agents on a production-tested framework. Your data, your rules, your roadmap.
Platform
Vera: AI platform for insurance operations
Sales, support, claims, payments, and document processing through natural conversation for your customers. Agent dashboards and human-in-the-loop controls for your team. Pre-configured for 9+ insurance lines, 30+ languages. Cloud, on-premise, or hybrid deployment.
Built on the architecture behind Signal Iduna’s 300,000+ policyholder platform and Reperks’ production AI agent. Pilot in 4 weeks.
Platform
DocuFlow: document intelligence platform
Classification-first extraction with confidence scoring for any business document. Invoices, contracts, compliance forms, delivery notes, and custom document types. Human review when confidence is low. Full audit trails. On-premise, hybrid, or managed private cloud.
Production-tested on Trusted Carrier’s 40,000+ weekly document pipeline and Reperks’ 98% time reduction workflow. Deploy in as fast as 2 weeks.
Sales and lead qualification agents
Agentic AI that qualifies leads, classifies visitor intent, and guides prospects through your sales funnel. Human-agent handover for complex cases. Our ZURI agent handles 400+ daily conversations for Vela Zanzibar with intent detection and contact gating.
Knowledge and compliance agents
RAG-powered agents that surface answers from your private content with citations and reasoning. Monitor for anomalies, flag risks, and enforce compliance rules with escalation paths.
In-product copilots
Context-aware agents embedded in your UI that guide users, propose next steps, and execute routine actions.
Conversational agents
Natural, low-latency agents for voice and chat. Interruptible, context-aware, integrated with your systems.
How we build AI agents: HyperCore. The AI isn’t the hard part. Architecture is the hard part.
HyperCore is our agent architecture, built on our own framework. Direct control over model orchestration, token budgets, and the AI-to-deterministic integration that regulated industries require.
- 01
Governance built in from day one
Not bolted on after launch. Security controls, audit trails, approval workflows, and compliance checks are part of the architecture, not an afterthought. That’s the difference between a demo and a system that survives regulated environments.
- 02
Integration as the whole road
Enterprise agents connect to multiple data sources: CRMs, ERPs, document stores, legacy systems. We treat integration as the core engineering challenge, not a last-step problem.
- 03
AI separated from deterministic logic
LLMs reason and converse. They don’t do reliable arithmetic. We build deterministic engines for calculations, validation, and compliance checks. The AI handles what it’s good at. Math and rules stay in code. Our framework tightly integrates LLM outputs with the deterministic layer so every AI decision flows through validation, rule checks, and structured logic before reaching the user. That’s why our agents pass audits. We encode legal rules, compliance requirements, and business logic as structured schemas, not raw text in prompts. Testable, auditable, and maintainable when regulations change.
- 04
Human-in-the-loop by design
“Full automation or nothing” is a false choice. Confidence scoring on every AI decision. Low confidence triggers human review. Approval workflows for high-stakes actions. Your team stays in control.
- 05
Cost-controlled model orchestration
Per-task model selection: simple classification tasks use smaller models, complex reasoning uses frontier models. Token budgets, caching, and multi-agent orchestration keep costs predictable as you scale.
- 06
Eval-driven deployment
Every AI agent demo looks good. The failures live in edge cases that only surface at scale. We built our own evaluation and observability framework from scratch. No third-party tools in the critical path. Agent accuracy, latency, cost, and conversation quality tracked in real time. Our ZURI agent runs 5,000+ automated assertions on every code change: RAG accuracy, sales behavior compliance, contact gating, frustration scoring, and long-conversation retrieval persistence. If an assertion fails, the change doesn’t ship.
Longest client partnership: 10+ years · EU-based engineering in Bucharest
Start with one agent in four weeks.
The AI Feature Sprint ships one deployed agent tied to your KPIs, with governance and cost controls from day one and a 90-day improvement plan.
Model-agnostic: Anthropic, OpenAI, Azure, Gemini. We pick the right model. You’re never locked in.
Engagements start at a 4-week sprint with a dedicated team. We scope and price after a consultation, so you know the cost before you commit. Eligible projects can access AWS co-funding to reduce your investment.
AWS co-funding secured for 10+ companies in 2025-2026 · Clutch Champion (Top 10%)
solutions / ai-feature-sprint
- Week 1Discover and designPick one high-leverage use case. We clarify the user flow, data touchpoints, and success metrics so the agent ties directly to a KPI.
- Week 2-3Build and integrateWe implement the agent, integrate it with your systems, and design the in-app experience so adoption is effortless.
- Week 4Harden and measureWe add quality and safety checks, human-in-the-loop where needed, dashboards, and A/B paths. You launch with a clear way to measure impact and control costs.
- OutcomeDeliverablesA shipped agent (sales assistant, document processor, knowledge agent, in-product copilot, or conversational agent), governance controls, cost tracking dashboards, and a 90-day improvement plan.
AWS partnership and cloud funding support. De-risk AI initiatives and migrations.
As an AWS Partner, we help eligible customers access AWS-funded Proof-of-Concept (PoC) credits and other promotional funding. We’ve secured AWS co-funding for 10+ companies in 2025-2026. We handle the full process: use case identification, pilot scoping, AWS request preparation, and measured results delivery.
PoC / pilot credits*
We identify a high-value AI use case, scope the pilot, prepare the AWS funding request, and deliver measured results with a clear ROI plan.
Assessments
AWS Well-Architected Review, Migration Readiness Assessment, cost-optimization reviews, and AI readiness on AWS.
GenAI on AWS
AI agent patterns using AWS-native services and Anthropic Claude, delivered with governance and cost controls.
*Where applicable. Contact us for more details.
See if your use case qualifies for AWS co-funding ›Why teams choose HyperSense. Most AI agent vendors show a demo and promise production. We show production and let you test it.
- 01
40% of AI agent projects get canceled. Ours ship.
Gartner (June 2025) predicts over 40% of agentic AI projects will be canceled by end of 2027. We’ve shipped two AI agents to production, both live and verifiable today. The difference is engineering: eval frameworks, deterministic validation, human-in-the-loop controls, and 20 years of knowing what breaks at scale.
- 02
You can test our agents right now
Talk to ZURI, our AI sales concierge for Vela Zanzibar. Process a document with Reperks’ NORA agent. No demo environment, no sandbox. These are live production systems handling real users and real data.
- 03
You own everything we build
Full ownership of all custom code, models, data pipelines, and configurations. Everything lives in your repositories from day one. No vendor lock-in, no permission needed to modify or extend. For projects built on our HyperCore framework, we offer flexible licensing so you can run and scale independently.
Signal Iduna serves 300,000+ policyholders on a platform we built and still maintain.
“They demonstrated the ability to integrate technologies and innovations, ensuring the perfect mix of technical capabilities while having the customer in mind.”
4.9/5 average rating
31 verified reviews. Clutch Global Winner and Champion, Fall 2025. Top Clutch AI Agents Company 2026.
Frequently asked questions
Who owns the IP and source code?
You do. Full ownership of all custom code, models, data pipelines, and configurations we build. Everything lives in your repositories from day one. When the engagement ends, you have complete control. No vendor lock-in, no permission needed to modify or extend. For projects built on our HyperCore framework, we offer flexible licensing so you can run and scale independently.
What does the project team look like?
A dedicated team sized to your scope, typically 3-8 people. For AI agent projects, that includes a senior AI/ML engineer, a full-stack developer, a UX designer, and a project manager. Our average engineer has 8+ years of experience. The team stays consistent throughout the engagement, so there’s no ramp-up time lost to rotation.
What’s the pricing model?
We scope and price after a consultation so you know the cost before you commit. The 4-week AI Feature Sprint is the most common starting point for AI projects. For ongoing work, we use time-and-materials with defined budgets and monthly reporting. No hourly surprises. We also coordinate AWS co-funding on eligible projects to reduce your investment.
Can we start with a pilot before a full build?
Yes, that’s what the AI Feature Sprint is designed for. Four weeks, one deployed agent, clear KPIs. You get a working system in production, not a slide deck. The Sprint includes governance controls, cost tracking, and a 90-day improvement plan, so you have a clear path forward whether you continue with us or not.
What happens if the AI makes a wrong decision in production?
Every AI decision in our systems carries a confidence score. Low-confidence decisions route to human review automatically. High-stakes actions require explicit approval through configurable workflows. We monitor agent accuracy, latency, and conversation quality in real time. Our ZURI agent runs 5,000+ automated assertions on every code change to catch regressions before they reach users. The architecture is designed so AI handles what it’s good at (reasoning, conversation, classification) while deterministic logic handles what it can’t (arithmetic, compliance checks, rule enforcement).
What LLMs do you support? Are we locked into one provider?
We’re model-agnostic. Anthropic, OpenAI, Azure, Gemini. We select the right model per task: simpler classification tasks use smaller, cheaper models while complex reasoning uses frontier models. You’re never locked into a single provider. When better models become available, we swap them in without rebuilding your system.
Do you work with companies outside Europe?
Yes. Our US office is in Chicago and our engineering hub is in Bucharest, Romania. We work with clients across the United States, Europe, the Middle East, and East Africa. Time zone overlap with US Eastern and Central is built into our operating model. For EU data residency requirements, your data stays in Europe.
Insights into software development
Discover more articles ›
Agentic AI in insurance: beyond the chatbotMost insurance AI projects never escape pilot purgatory. Learn why chatbots hit their ceiling and the architecture patterns for production AI agent deployment.Read the post ›
The Hidden Costs of AI Agent Development: A Complete TCO Guide for 2026Your 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.Read the post ›
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.Read the post ›
Tell us what you are building.
Walk away from the first call with a scoped plan, a timeline, and a cost estimate. No slide decks. No vaporware. ISO 27001 certified. 4.9/5 on Clutch across 31 reviews. AWS Partner. EU AI Act Ready.
Let's talk about your project