Industries
Built for data-intensive operations in high-stakes industries.
The work is hardest, and the value is highest, where the data is sensitive and the rules are strict. That is where we focus.
One system.
Three sets of constraints.
We deploy one forward-deployed model inside each sector's rules. The controls change. The data layer, the human sign-off, and the outcome do not.
State audit review: 4 to 24 hours per file, compressed into minutes.
Government & public sector
AI inside the agency, under the agency's controls.
Public-sector work is document-heavy, regulated, and security-bound. Reviews are manual and slow, data is sensitive, and most vendors cannot operate inside the required controls.
What we do
- Secure retrieval and agents that run inside your tenancy
- Document ingestion and compliance-aware review workflows
- Data sovereignty and strict access controls by default
- Human verification on every consequential output
Inside a state audit office, we built a review system that compressed 4 to 24 hours of manual work per audit into minutes, with auditors keeping the final say.
Supply chain & industry
Data is king in these businesses. Most of it goes unused.
Manufacturing, logistics, and distribution run on data scattered across CRMs, ERPs, and spreadsheets. Quoting and follow-up are manual, and conversion suffers for it.
What we do
- Unify fragmented systems into a single source of truth
- AI sales and operations systems from lead to closed deal
- Agents for quoting, follow-up, and lead intelligence
- A human approving every consequential action
For Rivus, we built Carlos, an AI sales operating system that took quoting from hours to minutes. For Newcalgon, a unified source of truth surfaced over $1M in revenue that had been left on the table.
Regulated enterprise
From AI pilots that stall to systems that run.
Enterprises have adopted AI tools that sit in isolation, with no data backbone and no measurable return. The gap is rarely the model. It is integration, governance, and the team to do it.
What we do
- A connected data layer before any agent is deployed
- Agentic orchestration with evals, guardrails, and observability
- Fine-tuning on your own data for domain-specific accuracy
- Embedded delivery that leaves your team more capable
For a regulated utility on a $340M+ grid program, we took a compliance system from pilot to production, automating 2,000+ regulatory pages behind a 95%+ faithfulness gate, with the internal capability to keep it running.
One posture, every sector
We build inside your walls, under your controls, with a human keeping the final say.
Start here
We will show you how we would build inside your industry's constraints.