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 whom • Custom ontology and taxonomy mapped to the Open Cybersecurity Schema Framework • Built for the operator who has delegated the work and still has to answer for it Visit 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) OS • Standalone appliance: setup over Wi‑Fi, no app store, no phone required • Glanceable cues for long-running agent sessions — walk away from the desk and still know • In sync by design: matching units stay in step with no pairing or hub Visit 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 scored • Reviewers correct verdicts and say why; the explanation becomes policy • Training, evaluation, deployment, and monitoring on the record, version by version • Any model as a backend: hosted LLMs, fine-tuned LLMs, small ML classifiers, and decision models like Jev Visit primus.anth.us for the product.
Ticketing Data Analysis
Engineered a serverless data lake for Tao Group Hospitality, streamlining complex Las Vegas ticket sales reporting. Our solution automates compliance with resort partners, auditors, and the Nevada Gaming Control Board, while reducing operational overhead.
- Pass
- Miss
Each call is one document and gets one scored row. We have scored calls this way across hundreds of scorecards and millions of calls.
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.
Vault
Implemented a cloud-based enterprise data warehouse (EDW), aligning with the growing trend in 2014 of cloud adoption for data-intensive operations. Vault served as the cornerstone of data operations for over a decade, enabling seamless integrations with major platforms like Marketo, Salesforce, and Salesforce Marketing Cloud. This approach provided scalability and flexibility while reducing infrastructure costs. By centralizing data from multiple sources, Vault empowered businesses to derive actionable insights, streamline marketing operations, and enhance customer relationship management. It also gave us a platform for exploring ML use cases, like customer volume forecasting. Its longevity and adaptability underscore our commitment to building future-proof solutions that deliver long-term value.
Ticket Driver Copilot
An AI agent capable of displaying live charts of CloudWatch metrics from the Ticket Driver event ticketing system, with the ability to report on the system's performance. Used internally to monitor and manage the system. Proactively notifies us in a Slack channel when there are CloudWatch alerts from the system.
Ticket Driver
Modernized Venue Driver with a serverless architecture, improving reliability and efficiency by eliminating server management. Implemented a React frontend and GraphQL backend, dramatically improving system reliability and performance while reducing operational costs.
Store Driver
Serverless Angular app replacement for Venue Driver's legacy event ticket store, which previously ran on a Ruby on Rails app running on live servers that generated HTML on the fly.
Paytronix
Delivered a certified integration between Tao Group Hospitality's event ticket store with Paytronix to support new Tao Rewards loyalty program. Paytronix also certified another integration for gift card features for the Tao Group Rewards iOS and Andriod apps.
Menu Driver
An emergency project aimed at elevating web restaurant menus to a high-availability service during the post-pandemic reopening phase, when touchless QR code menus became a mission-critical requirement for large restaurant groups. Menu Driver uses AWS Comprehend to make decisions about menu formatting based on analysis of the menu content.
- Event
- Function
- Delivered
Ticketing, VIP tables and guest lists on serverless, event-driven infrastructure, wired into loyalty, ServiceNow and a data warehouse.
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: • Processed as much as $64 million in revenue a year • Began as an on-premises solution for reservations and guest lists, tailored for Las Vegas nightlife • Underwent successful cloud transformation to AWS, enhancing scalability and reliability • Transitioned to serverless architecture, dramatically reducing operational costs while improving performance • Adapted continuously to support new business models and regulatory requirements • Integrated with other systems, creating a comprehensive hospitality management ecosystem Venue 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.
Checkout Driver
Serverless upgrade for the mission-critical event ticket store checkout, making a transition from a traditional payment gateway to a tokenized system that eliminated all processing and storage of customer credit card information.
Salesforce Marketing Cloud
Moved Hakkasan Group marketing automation from Marketo to Salesforce in an attempt at deeper integration. Honestly, it sucked. We should have stayed with Marketo.
Salesforce
Streamlined VIP table reservations for Hakkasan Group's global nightclubs by integrating Salesforce with their data warehouse and reservation system. This solution optimized the sales process, enhancing revenue management for high-value bookings in Las Vegas and international venues. The integration enabled real-time data flow, improving decision-making and customer service for premium clientele.
Marketo
Implemented Marketo integration for Hakkasan Group, activating meticulously designed customer journeys. This project enabled highly personalized marketing campaigns, improved targeting accuracy, and enhanced marketing efficiency. The result: streamlined operations, higher customer engagement, and increased revenue through data-driven marketing automation.