We've processed a quarter billion dollars in revenue at scale with nearly 100% uptime. We've built production RLHF systems that transform core business processes through self-evolving AI agents. We don't just talk about AI—we deliver it at scale.
Our Mission
Deliver serverless business solutions using collaboration between human and artificial intelligence in every aspect of development and operations. We pair agentic speed with governance: specs, guardrails, and production feedback loops.
Our Values
Prioritize Solutions Over Tools
Investing in products and services only delivers business value if you're in the business of products and services. We're in the business of solutions.
Design for Humans
Computers exist to help humans accomplish things. Not the other way around. Make it easy for the human, not the computer.
Focus on Business Logic
The only code you should be writing is the business logic that solves real problems. Don't waste time reinventing wheels.
Continuously Improve
Enable rapid, iterative change through CI/CD and DevOps. Mitigate the risk of change by making lots of small, verifiable changes—and by feeding production learnings back into tests and guardrails.
Collaborate with AI Humanely
The most scarce and valuable resource is human time and attention. Leveraging artificial people allows us to scale that attention without burning out real people.
Implement Infrastructure as Code
Leverage DevOps to implement Infrastructure as Code. Every aspect of a production system should be created and configured by code so that it's reproducible, not manually.
Commodify AI Models
Treat AI models as replaceable, not magic black boxes. In a world with no moats, don't invest too much in any given castle.
Optimize Resource Usage
Balance efficiency with cost-effectiveness. When intelligence is cheap, the goal shifts from conserving compute to conserving context and cognitive load.
Our Approach: Cybernetic Development
AI is an engine for generating code. The differentiator is the governor: the constraints, feedback loops, and judgment that keep systems reliable in production.
Modern failures increasingly look less like isolated “bugs” and more like operational, multi-system breakdowns. Great unit tests help—but they don’t cover every emergent scenario. So we build layered defenses and close the loop with real-world feedback.
- Specs first: define behavior before implementation.
- Defense in depth: sandboxed tools, CI gates, staged rollouts, and fast rollback.
- Operational feedback: telemetry and incident-driven regressions that tighten the loop over time.
- Simplify and delete: reduce degrees of freedom to eliminate entire classes of failure.
Our Capabilities
![Smart Process Automation]()
Smart Process Automation
Delegate routine tasks to intelligent systems, freeing your team for higher-impact initiatives.
![Smart Process Automation]()
AI-powered software features.
Infuse AI-driven capabilities into your cloud-based apps, mobile applications, or existing systems.
![Smart Process Automation]()
Serverless software solutions.
Not all AI-enabled solutions use AI at runtime. We have a long and proven history of building serverless architectures that deliver business value.
![Smart Process Automation]()
Conversational AI Agents
Elevate your efficiency by integrating a conversational AI co-pilot, enabling dialogues with your business operations.
The Anthus Platform
Solve complex business problems with AI and ML using a proven, reusable technology stack. We provide interoperable building blocks: Korporus hosts the application surface, Tactusdefines durable procedures, Kanbus coordinates workflow state, Plexus governs evaluation and MLOps, Biblicus and Virtuus ground systems in inspectable data,Caducus adds operational visibility, and Babulus extends the same code-first philosophy into content and video output.
Plexus
Plexus is the Anthus MLOps platform and agent incubator: the system that evaluates, deploys, and continuously improves AI agents with human feedback in the loop.
Korporus
Korporus is the Anthus application shell and AI-agent operating environment: a federated, containerized host for platform apps, shared UX chrome, and modular web interfaces.
Tactus
Tactus is a programming language and runtime for durable AI-agent procedures, with sandboxing, built-in BDD specifications, checkpointing, and human-in-the-loop controls as first-class concepts.
Kanbus
Kanbus is a project-management system for orchestrating AI-agent workloads with git-backed issues, wiki-style planning, and durable task memory.
Biblicus
Biblicus is the Anthus corpus-analysis platform for extraction, retrieval, and evidence-first knowledge workflows over real document collections.
Virtuus
Virtuus is the Anthus structured-data layer: a filesystem-native virtual table engine for JSON records with just-in-time indexing and fast query access after load.
Caducus
Caducus is an application-health and operator-assistance system that turns noisy operational events into prioritized issue patterns, alerts, and level-zero triage support.
Babulus
Babulus is an AI-agent-driven marketing automation system that treats video production as code, with narration-first workflows, generated assets, and deterministic previews.
VideoML
VideoML is the Anthus video pipeline for representing video as code, generating script and timing artifacts, and rendering automatable media workflows.
Grounded research to video output
Biblicus + Tactus + Babulus + Korporus
Use Biblicus to manage the source corpus, Tactus to define the repeatable procedure, Babulus to generate the narrative output, and Korporus to host the resulting service as a coherent application.
Production agent service with operational discipline
Tactus + Plexus + Korporus + Caducus
Define the agent behavior in Tactus, evaluate and improve it through Plexus, run it inside Korporus, and monitor it through Caducus so the result behaves like a service instead of a demo.
Workflow-heavy human and AI collaboration
Kanbus + Tactus + Plexus
Keep task memory and work orchestration durable in Kanbus, drive execution through Tactus procedures, and feed the resulting evaluation and feedback loops back into Plexus.
Featured Solutions
![Speaker Role Classifier]()
Speaker Role Classifier
November 2025A 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.
![Classification with Confidence]()
Classification with Confidence
September 2025A 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.
![SQLBot: Your AI Database Analyst]()
SQLBot: Your AI Database Analyst
September 2025SQLBot 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.
![Call Criteria]()
Call Criteria
October 2023 - ongoingWe transformed a call center QA company by converting human-led processes into cybernetic systems that blend AI with human expertise. This groundbreaking work led to the development of Plexus, our enterprise AI platform. The results: unprecedented scalability with costs reduced by orders of magnitude, AI call reviews that outperform human reviews in speed and consistency, and automated AI setup for new client scorecards that streamlined onboarding. Our solution solved immediate challenges while opening new avenues for continuous improvement in call center quality assurance, ultimately evolving into a comprehensive enterprise AI platform.
View all our Solutions.
Recent Articles
![The Simulation Told Them They Would Win]()
The Simulation Told Them They Would Win
2026-04-12AI war-gaming and targeting tools compress tempo and produce confident projections—but when strategy is wrong, speed and sycophancy only widen the gap between tactical success and strategic failure.![Biblicus]()
Biblicus
2026-03-27Biblicus is the Anthus corpus-analysis platform for extraction, retrieval, and evidence-first knowledge workflows over real document collections.![Babulus]()
Babulus
2026-03-27Babulus is an AI-agent-driven marketing automation system that treats video production as code, with narration-first workflows, generated assets, and deterministic previews.![Caducus]()
Caducus
2026-03-27Caducus is an application-health and operator-assistance system that turns noisy operational events into prioritized issue patterns, alerts, and level-zero triage support.
Please see our Articles for more.
