Applied AI Solutions
chronus.tech
Helping startups and teams design, build, and scale AI systems — from prototype to production.
Expertise
Core Competencies
Agentic & Voice AI
Design and scale real-time conversational systems, from chatbots to voice agents, built for reliability and production use.
Applied LLM Systems
Prototype and deploy LLM-powered applications that solve real-world problems, with an emphasis on trustworthy and consistent outputs.
Custom Modelling & Analytics
Develop bespoke ML models and apply exploratory data analysis to uncover insights, solve domain-specific problems, and extend off-the-shelf AI.
Cloud & Infrastructure
Deliver end-to-end AI solutions with scalable, secure infrastructure — from provisioning and CI/CD to fully deployed, production-ready systems on the cloud platform of your choice.
Portfolio
Case studies highlighting how we apply AI and system design to real-world challenges, turning complex technical requirements into practical, production-ready systems.
In-House Voice Agent Infrastructure on AWS
Outcomes:
Enabled the client to run real-time voice AI entirely on their own infrastructure, avoiding reliance on third-party providers. This delivered greater control over performance, costs, and data privacy, with enterprise-grade reliability. Delivered a working demo accessible via both a web playground and a dedicated phone line, showcasing multi-channel flexibility and production readiness.
Implementation:
- Provisioned AWS EKS with Terraform for repeatable, scalable deployments
- Deployed LiveKit Server and LiveKit SIP Server for WebRTC and SIP traffic
- Configured ALB/NLB load balancers with TURN for enterprise firewalls
- Integrated Redis for state/session management
- Connected SIP to Twilio for telephony access
DocPilot — Reliable AI for Document Auditing
Outcomes:
Evolved an MVP into a production-ready AI assistant for Microsoft Word to support auditing and compliance tasks. The new system delivers reliable, standards-aligned outputs, replacing a brittle single-prompt setup with a modular design and a custom evaluation suite. Each suggestion is traceable to relevant auditing codes, providing interpretability and reducing risk for professionals who need confidence and consistency in high-stakes reviews.
Implementation:
- Applied prompt & context engineering practices across the workflow
- Developed evaluation suites to validate performance and detect regressions
- Implemented guardrails and structured outputs to reduce errors
- Introduced prompt versioning and comparison tools for safe iteration
- Integrated the improved pipeline seamlessly into the Word plugin experience
Procurewise — Clarity in Procurement Savings.
Outcomes:
Developed a data analytics tool that transforms raw procurement exports into actionable insights on spend and savings. The system standardizes messy supplier and item data, surfaces hidden opportunities, and flags anomalies in pricing and usage. Procurement teams gain a unified view of contracts and spend history, enabling more informed decisions and stronger negotiations.
Implementation:
- Built ingestion pipeline to process raw ERP and finance exports
- Applied normalization and enrichment to suppliers, items, and categories
- Designed analytics engine to compute baselines and identify savings
- Delivered dashboards to visualize spend trends and supplier performance
Ready to build?
From prototype to production, we help teams design, deploy, and scale AI systems with confidence.