DataParade
DataParade is a privacy and security product built on a semantic knowledge graph, with a custom ontology and taxonomy that ties into the OCSF standard. Anthus is working with DataParade to develop it. It belongs to the new class of tooling that lets people see what AI agents are doing across a project once they've stepped back from writing the code themselves. Semantic knowledge graph as the system of record for what happened, to what, and by whomCustom ontology and taxonomy mapped to the Open Cybersecurity Schema FrameworkBuilt for the operator who has delegated the work and still has to answer for itVisit dataparade.io.
B0rd
B0rd is a standalone LED-matrix desk display built by Anthus Microelectronics, a spinoff venture rooted in Anthus's ubiquitous use of AI agents and the constant all-day need to monitor their progress and steer them. It puts glanceable information — launch countdowns, agent status, notifications, an idle clock — on the wall or desk without a screen you have to sit in front of. Handbuilt microelectronics with a custom handbuilt (AI-assisted) OSStandalone appliance: setup over Wi‑Fi, no app store, no phone requiredGlanceable cues for long-running agent sessions — walk away from the desk and still knowIn sync by design: matching units stay in step with no pairing or hubVisit b0rd.info or the Etsy shop.
Speaker Role Classifier
A real-world example of how the agentic programming paradigm enables rapid solution development. We faced a problem where ambiguity in speaker role names could have made a traditional programmatic solution complex and time-consuming. By giving an AI agent the right tools, we delivered a working solution quickly and moved on—demonstrating how agent-based programming enables much greater agility and speed. View the project on GitHub.
SQLBot: Your AI Database Analyst
SQLBot is a new kind of interface for your database. Instead of writing SQL queries yourself, you delegate high-level analytical tasks to an AI agent. It reasons through your request, executing a chain of queries and analyzing the results until it arrives at a complete answer—all while keeping your data safe with built-in safeguards. View the project on GitHub.
Classification with Confidence
A practical exploration of LLM fine-tuning for text classification. By fine-tuning GPT-4o-mini, we significantly improved classification accuracy and alignment to specific business requirements. The project demonstrates a production-ready approach to model alignment with confidence scoring that determines when human review is needed—a practical application of human-in-the-loop principles that balances automation with expert oversight. View the project on GitHub.
Primus
Primus is our MLOps platform. We built it as the core infrastructure for the classifier lab we built for Call Criteria, and it has managed the full lifecycle of classifiers and AI agents at production scale for years: Hundreds of scorecards, millions of interactions scoredReviewers correct verdicts and say why; the explanation becomes policyTraining, evaluation, deployment, and monitoring on the record, version by versionAny model as a backend: hosted LLMs, fine-tuned LLMs, small ML classifiers, and decision models like JevVisit primus.anth.us for the product.
Call Criteria
Call Criteria scored call-center QA with custom fine-tuned LLM classifiers run by an outside service. It worked, but the vendor was too expensive and too slow to scale to every new scorecard, and they wanted control. We built them an in-house classifier lab on Primus in their own AWS account and operated it for years: hundreds of scorecards, millions of calls, the cheapest model that clears each bar, and reviewers whose corrections became policy.
Venue Driver
A nightclub management system that has been the backbone of Las Vegas hospitality operations since 2007, processing over a quarter of a billion dollars in total revenue: Handled peak volumes of tens of millions of dollars per monthBegan as an on-premises solution for reservations and guest lists, tailored for Las Vegas nightlifeUnderwent successful cloud transformation to AWS, enhancing scalability and reliabilityTransitioned to serverless architecture, dramatically reducing operational costs while improving performanceAdapted continuously to support new business models and regulatory requirementsIntegrated with other systems, creating a comprehensive hospitality management ecosystemVenue Driver's longevity, financial impact, and successful technological evolution demonstrate our ability to create and maintain mission-critical solutions that grow with our clients' needs, from on-premises to cloud to serverless architectures.