AI Agent Development Company. Production Agents, Not Demos.
98% time reduction. B2B quotes in 60 seconds. 400+ daily conversations qualifying luxury real estate buyers. A live agent anyone can try at agent.reperks.de or vela-zanzibar.com.
We're a custom software company with 20+ years of production delivery. AI agent development is built on the same engineering discipline that shipped enterprise platforms serving 300,000+ users across insurance, logistics, and fintech. Every agent runs on HyperCore, our proprietary agentic framework built for production workloads, not prototyping. ISO 27001 certified, EU AI Act ready.
AI agents we build
In-product copilots
Context-aware agents embedded in your product UI. They guide users, propose next steps, and execute routine actions with human-in-the-loop controls. Built for support desks, sales ops, and back-office workflows.Conversational agents
Goal-directed agents that handle complex queries, route intent, and complete transactions across chat and voice. Our Hamilton Perkins engagement demonstrates dual-audience routing from a single interface. ZURI shows how this works for high-consideration luxury sales with contact gating and visitor classification.Document processing agents
Agents that classify, extract, validate, and route data from invoices, claims, contracts, and KYC documents. Our Reperks engagement uses classification-first extraction with confidence scoring and human review for low-confidence results. Trusted Carrier processes 40,000+ transport documents weekly across 22 languages using similar document automation patterns.Knowledge and RAG agents
Retrieval-augmented agents that surface insights from your data with citations and auditable answers. We structure domain knowledge as queryable schemas rather than raw prompt text. Testable, maintainable, and auditable for regulated industries.Monitoring and compliance agents
Agents that detect anomalies, flag risks, and enforce compliance rules in real time. Our Reperks agent automates German rental law compliance. The same compliance-first approach applies to any regulated industry.
How we build AI agents
Discovery and architecture
We start with your business goals, not technology choices. Analyze existing workflows, identify where agents deliver the highest impact, design architectures that separate concerns.HyperCore framework
We built our own agentic framework instead of using off-the-shelf tools. Direct control over model orchestration, token budgets, and deterministic validation. Faster delivery cycles, lower runtime costs, and easier debugging.AI Feature Sprint delivery
Production-grade agents in focused sprints. Reperks went from architecture design to working MVP in weeks. We ship with governance, observability, and operational controls from day one.Eval-driven deployment
Every AI agent demo looks good. The failures live in edge cases. Our ZURI agent runs 5,000+ automated assertions on every code change: RAG accuracy, sales behavior compliance, contact gating, frustration scoring. If an assertion fails, the change does not ship.Cost-aware engineering
AI token costs can spiral fast. We implement model routing (expensive models for complex reasoning, cheaper models for simple tasks), context caching, and token budgets. Standard in every engagement.
Ready to discuss your AI agent project?
Walk away from the first call with a scoped plan, timelines, and a cost estimate. We bring proven experience shipping production AI systems for regulated industries.
Our AI development approach
Understanding your business needs with AI development services
To gain a deep understanding of your business goals, challenges, and current processes, ensuring that the AI solutions we develop are fully aligned with your strategic objectives.
Objective
This approach ensures that the AI solutions are technically sound and tailored to drive tangible improvements in your specific business context, maximizing the return on your AI investment.
Benefit
A detailed assessment and roadmap that outlines how AI can be effectively integrated into your business, highlighting areas with the highest potential for impact.
Outcome
Customized AI business solutions
Objective
Outcome
Benefit
Agile development and iterative testing
To utilize an agile development methodology, allowing flexibility, rapid iteration, and continuous improvement throughout the AI software development process.
Objective
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This ensures that the final AI solution is highly reliable and effective, with any issues identified and resolved early in the development process resulting in a solution that meets your expectations and delivers consistent value.
Benefit
The development of AI solutions through iterative cycles, where prototypes are tested, refined, and optimized based on real-world performance and feedback.
Outcome
Seamless integration
Objective
Outcome
Benefit
Ongoing support and optimization
To provide continuous support and optimization for your AI systems, ensuring they remain practical and up-to-date in a rapidly evolving technological landscape.
Objective
Ongoing support ensures that your AI investments continue to deliver value over time, adapting to new challenges and opportunities and maintaining peak performance in your business environment.
Benefit
Regular monitoring, updates, and improvements to your AI solutions, keeping them aligned with your business needs and technological advancements.
Outcome
Ethical AI practices
Objective
Outcome
Benefit
Case studies
Proptech
Reperks: Production AI agent for utility billing
Challenge
German landlords spent 20+ hours per property on annual utility billing. Complex legal compliance (BGB ss.556-560, HeizKV, CO2KostAufG) made the process error-prone and time-consuming.
Solution
Built an AI agent on Claude 4.5 Sonnet (Extended Thinking) via AWS Bedrock. Document processing with AWS Textract, triple-validated calculations, and human-in-the-loop extraction. Delivered through a single AI Feature Sprint cycle with a 5-person team.
Outcome
98% time reduction: 20+ hours to 10-15 minutes per property. Live at agent.reperks.de. Architecture design to working MVP in weeks. Legal compliance automation with triple-validated calculations.
Insights into AI development
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.
Proof: AI agents we’ve built for real clients
Reperks: AI agent for German landlord utility billing
98% time reduction (20+ hours to 10-15 minutes). Claude 4.5 Sonnet on AWS Bedrock. Live at agent.reperks.de. AI Feature Sprint delivery. 5-person team: senior AI/ML engineer, full-stack developers, project manager. Architecture design to working MVP in weeks.ZURI: AI sales concierge for Vela Zanzibar luxury real estate
400+ daily conversations during peak campaigns. Visitor classification in 3 messages. 5,000+ eval assertions on every deployment. Live at vela-zanzibar.com. 3-person engineering team, iterative delivery over multiple sprint cycles.Hamilton Perkins: Dual-purpose conversational AI for B2B and B2C
Quote generation from days to under 60 seconds. Dual B2B/B2C from a single interface. AWS Bedrock + Anthropic Claude. Intelligent intent routing detects B2B vs. B2C automatically. 24/7 automated support captures leads across all time zones.
Why teams choose HyperSense for AI agent development
Real AI proof points, not theoretical capabilities
Our AI credibility comes from client-funded work. Reperks: production AI agent, 98% time reduction. ZURI: 400+ daily conversations qualifying luxury buyers, 5,000+ eval assertions on every deployment. Hamilton Perkins: conversational AI, quote generation in 60 seconds.20+ years of production software delivery
AI agent development sits on the same engineering foundation that delivered Signal Iduna’s health insurance platform (300,000+ policyholders), Trusted Carrier’s logistics ecosystem (40,000+ docs/week, 22 languages), and Tinka’s fintech app (50,000+ users in 3 months).ISO-certified, EU AI Act ready
ISO 9001:2015 and ISO/IEC 27001:2018 certified. EU AI Act ready: agents built with mandatory risk classification, transparency documentation, and human oversight controls. Critical for AI agents operating in regulated industries.AWS Partner with co-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.You own everything we build
Full ownership of all code, models, and data pipelines. No licensing fees, no lock-in. Everything lives in your repositories from day one. When the engagement ends, you have complete control.
FAQs
What does AI agent development cost?
Costs vary based on agent complexity, data processing requirements, and integration needs. Our AI Feature Sprint provides a cost-effective starting point: 4 weeks, one deployed agent, clear KPIs. We provide detailed scoping after an initial consultation. Eligible projects can access AWS co-funding to reduce your investment.How long does it take to build a production AI agent?
Our AI Feature Sprint delivers production-ready agents in 4-week sprints. Simpler agents may ship faster. Complex projects involving multi-agent orchestration, extensive document processing, or regulatory compliance may require 2-3 sprints. We delivered the Reperks MVP in a single sprint cycle.What technology stack do you use?
Every agent runs on HyperCore, our proprietary agentic framework. We built it for direct control over model orchestration, token budgets, and deterministic validation. Current engagements use AWS Bedrock with Anthropic Claude (Claude 4.5 Sonnet and Extended Thinking), but we work across GPT-4, Gemini, and open-source alternatives. Infrastructure typically includes Node.js, React, PostgreSQL, AWS Lambda, and Terraform.How do you ensure reliability in regulated industries?
We separate LLM reasoning from deterministic validation. For Reperks, all financial calculations run through triple-validation in hardened code. The LLM handles conversation and legal explanation. Eval-driven deployment catches regressions before they reach users. Our ZURI agent runs 5,000+ automated assertions on every code change. Guardrails, audit trails, human-in-the-loop controls, and comprehensive monitoring are standard.Can AI agents integrate with our existing systems?
Yes. We design agents to integrate with existing software, databases, APIs, and workflows. Our Hamilton Perkins engagement integrates with e-commerce platforms, CRM tools, and inventory systems. Our Reperks engagement integrates document processing with database persistence and PDF generation.
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