Who we serve
Government & public sector
Secure retrieval and agents inside the agency's tenancy, with human verification on every consequential output and the final say kept with the operators.
Government AI
01 / 06Who we serve
Secure retrieval and agents inside the agency's tenancy, with human verification on every consequential output and the final say kept with the operators.
Government AI
01 / 06Who we serve
We unify fragmented CRM, ERP, and operations data, then build agentic workflows that make quoting, follow-up, and execution move as one system.
Rivus case study
02 / 06Who we serve
Compliance intelligence over regulated infrastructure, built with a hard faithfulness gate and reviewable evidence behind every generated answer.
Energy utility case study
03 / 06Who we serve
Connected lifecycle systems turn manual, multi-channel community operations into reliable outreach, events, renewals, and measurable growth.
AI Collective case study
04 / 06Who we serve
A clean operational data layer replaces spreadsheet drift, making quoting and deployment faster without asking the business to rip out the systems it already runs.
Newcalgon case study
05 / 06Who we serve
Automated communications, events, and renewal workflows for a 400+ member association, cutting manual outreach time 70% and giving leadership a live view of member health.
Chamber case study
06 / 06
“Sitting in and listening to the auditors directly gave us the client's actual north star, not our interpretation of it.”
Case studies
Real systems inside real operations, named where we can name them.


The numbers are very good. What I expect now is exponential growth, 10x.
Andres BirlainCEO+30%team productivity$5Madded revenueWe rebuilt their quote-to-cash flow into an agentic pipeline running on their own data, lifting team output and unlocking new revenue. Read the case study


You changed our lives. It was a mess for two years and no one could fix it.
Sebastian Serrano12 wksto quote + deploy, from 6+ monthsA two-year data mess turned into a clean quote-and-deploy system, cutting a six-month cycle down to twelve weeks. Read the case study
The stack/Layer 01 of 05
Forward-deployed
Our engineers deploy into your building to build, integrate, and run your AI. You get the outcome, not a hand-off.
You get the systems. We run them.
Who we areDelivery stack
Our engineers deploy into your building to build, integrate, and run your AI. You get the outcome, not a hand-off.
You get the systems. We run them.
Who we areBefore a line of code, we sit with your domain experts and map your systems, data, and controls, so nothing breaks in production.
How we start
Audited
your system endpoints, databases, and permissions
Modelled
model routing and security guardrails
Mapped
data pipelines against leakage and latency
Mapped before built. Nothing breaks in prod.
See how we workMainframes, ERPs, databases, and documents, unified into one secure retrieval layer. No rip-and-replace.
In this layer
Systems we unify
and whatever else is already running
Your data, unified and ready. No rip-and-replace.
See how we workCustom RAG and agentic systems, the right model for each task, running inside your own private cloud.
In this layer
“How many units shipped in Q3?”
Answered from your data, with the sources it used.
Secure agentic systems, inside your VPC.
See how we workEvaluation, optimization, scaling, and security, managed 24/7 by our team, inside your environment.
Enforced, inside your boundary
Live in about 90 days. Run 24/7 by us.
How we handle securityForward-deployed means we work in your environment, on your data, inside your governance. We have taken AI systems to production in regulated and public-sector settings, human verification in the loop.




Start here
A short call is the fastest way to find out. No pitch, just the work.