The Bastion platform

The half-life of an AI platform is measured in months.

Bastion is Moative's AI platform. Four components. Three compounding loops. Engines get swapped as the tech matures.

The interfaces stay stable. Your engagement keeps running.

Platform architecture

One system. Four components. Three loops.

Bastion is one system, not a toolbox. Four components feeding each other through three compounding loops. Data enters via Spoggle, runs through Crucible's agents with Vault's memory, and leaves as real-world action via Courier.

Every action produces new data. Every decision becomes future context. Every outcome sharpens the primitives underneath.

Bastion platform architecture: four components. Spoggle ingests data from the external world, Crucible runs agents, Vault stores memory, Courier takes action back in the world. Three compounding loops close the system. EXTERNAL WORLD CRMs · ERPs · SaaS · browsers · documents · sensors raw data actions out Spoggle DATA LAYER semantic clustering agent-ready data Crucible AGENT HARNESS red-teamed agents actions Courier AGENTIC RPA reads pages, decides Vault MEMORY compiled wiki context LOOP 1 · action → data LOOP 2 · agent → memory LOOP 3 · outcome → primitive (trains models built on Bastion)

Spoggle

Data orchestration

Patented semantic data clustering. Takes scattered data from CRMs, ERPs, and SaaS tools, auto-discovers the relationships, and builds warehouse-ready data models. No pipeline code, no schema design, no data engineering team. Runs in your own infrastructure.

Six months of data engineering done in days.

Semantic Data Orchestration

Crucible

Agent harness

A self-improving agent harness built on open-source Hermes. Agents are red-teamed against adversarial inputs; the failures get iterated. Data comes from Spoggle, predictions from models built on Bastion, and decisions flow to Courier to act and Vault to remember.

Only agents that survive red-teaming reach production.

Vault

Organizational memory

Not a RAG system. Vault is a self-correcting compiled wiki. LLMs read from Slack, Meet, Drive, Git, email, and code, and compile structured markdown via a four-phase cycle: ingest, compile, query, lint. Three internal agents, each with strict permission separation.

Zero behavior change for the team. Vault reads from the channels they already use.

Courier

Agentic RPA

Courier reads the page and decides. When Crucible issues a task, Courier executes each step by understanding what is on the screen in real time. It fills forms, clicks buttons, submits transactions, and returns fresh data to Spoggle.

No pre-recorded workflows. No brittle selectors.

The three compounding loops

  • Loop 01 Action becomes data

    Courier's real-world outputs become new data in Spoggle. The system's actions become its next inputs, so every engagement grows its own dataset.

  • Loop 02 Agent becomes memory

    Crucible writes every decision and learning to Vault. The next agent starts with everything the previous agents knew. Institutional memory without the institutional latency.

  • Loop 03 Outcome becomes primitive

    Vault's accumulated outcomes become training signal for the models we build on top of Bastion. Those models get sharper as the system operates. The longer it runs, the better it runs.

Built on Bastion

What runs on top of it.

Soldier - Agentic CRM

A multi-pipeline, agentic CRM that never lets a sales rep skip a beat on moving deals through the pipeline. Built on Bastion. Coming soon.

Helm - Autonomous campaigns

Autonomous outreach campaigns that plan themselves, execute without babysitting, and report back with what worked. Built on Bastion. Coming soon.

Lisa - Voice AI

Voice AI running in production with a million-plus users. Handles claim status lookups, appointment scheduling, and patient intake.

State-space models

Industrial signals, sensor fusion, process control. Kalman filters, structural time-series, and state-space networks for real-world physical processes. Deployed in: Energy trading, paper mill optimization.

TS2Vec

Self-supervised time-series embeddings on raw sensor streams. Turns noisy industrial data into representations that downstream tasks can classify, cluster, and retrieve on. Deployed in: Forecasting, anomaly detection.

Residual value curves

Lease-specific depreciation models built from the lessor's own portfolio, not industry tables. Powers underwriting and six-month-ahead portfolio monitoring. Deployed in: Equipment leasing.

Knowledge graphs

Relational structures over unstructured domain data. Turns a pile of documents into queryable intelligence that agents can reason over. Deployed in: Medicare claims intelligence.

Gradient-boosted trees

Tabular classification and regression workhorse. The right tool when interpretability and speed beat deep nets for scoring, underwriting, and pricing tasks. Deployed in: Scoring, underwriting, pricing.

Want Bastion running inside your company?

Bastion is not self-service. Every deployment comes with the platform, the engineers who built it, and the operator who owns the outcome.

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