WHAT CICLO DOES

The substrate under every engagement — and every agentic team.

Six capabilities you can hire individually, but the compounding comes from engaging them together. In an engagement, we use them to ship a project to production. In an agentic workforce, those same capabilities power a team you embed in your business.

01

AI Injection

We identify where AI actually moves the needle in your operation — and ship it.

  • Opportunity discovery: map your processes; find the 20% of decisions where AI compounds.
  • Prototype to production: models built for uptime and cost, not Kaggle leaderboards.
  • Integration: plug into the systems your team already uses, not replace them.
  • Governance: measurement, guardrails, and model lifecycle from day one.
02

Domain Discovery

AI without domain expertise is a gimmick. We invest the time to understand your business.

  • Stakeholder and operator interviews across the value chain.
  • Process mapping: where decisions are made, who owns them, what data they rely on.
  • Jobs-to-be-done framing that makes AI scope sharp — not vague.
  • Partnership with in-house SMEs so the domain model outlives the engagement.
03

Data Foundations

No data, no wisdom. We build the pipes, schemas, and governance AI needs to run.

  • Source inventory and data contracts across internal and third-party systems.
  • ELT/ETL pipelines, warehousing, and lakehouse architectures.
  • Data quality, lineage, and observability baked in.
  • Privacy, access control, and compliance (HIPAA, SOC2, state cannabis regs, etc.).
04

Quant Modeling

Statistical and ML models built by people who have shipped them into trading systems running real money.

  • Predictive modeling, time-series forecasting, and anomaly detection.
  • Optimization and decision models for allocation, pricing, and routing.
  • Simulation and backtesting frameworks for pre-deployment confidence.
  • MLOps: versioned models, canary deploys, drift monitoring.
05

Information Architecture

Structure your knowledge so both humans and AI can reason over it.

  • Knowledge graphs and ontologies tuned to your domain.
  • Retrieval and embedding strategies for RAG and agentic workflows.
  • Internal documentation and tooling that LLMs can consume reliably.
  • Taxonomies that survive org change and tool migration.
06

Automation

Agents and workflows that remove toil from the business, end to end.

  • Workflow automation across procurement, compliance, onboarding, reporting.
  • LLM agents scoped to well-defined, auditable jobs.
  • Human-in-the-loop where it matters, fully automated where it doesn't.
  • ROI instrumentation — we measure hours saved and errors prevented.

Not sure which track fits?

Tell us the problem. We'll recommend an Engagement or an Agentic Workforce — and scope it.