AI systems
in production.
Agents, applications and automation connected to your data, with the evaluation and controls to put them into production.
AI engineering & advisory
We build AI systems and train
teams to use them.
Selected experience
Federal sector
65%
lower cost per lead
Across $400M in annual advertising spend.
Institutional markets
$36B+
annual notional trading volume
Supported by institutional risk infrastructure.
Private equity · M&A
$100M+
cost reductions through integrations
$400M+ incremental portfolio ARR.
01 / What we do
From technical planning to deployment
and team adoption.
Agents, applications and automation connected to your data, with the evaluation and controls to put them into production.
Practical training inside the tools and workflows your people already use.
Clear priorities, technical diligence and delivery plans grounded in business value. From AI investment decisions to engineering through an acquisition.
02 / How we work
Direct principal execution from architectural blueprint to production handoff.
No junior handoffs or layers of account management. The person advising your leadership team is the one architecting and shipping the system.
We build inside your security perimeter with the evaluation, auditability, and operational controls required for high-stakes environments.
Every engagement includes hands-on enablement and clean architectural documentation so your people can run and extend what we build.
03 / Who we are
Neil Benedict Founder, Signo
The person shaping the strategy
can also build the system.
Neil’s experience spans federal data science leadership, institutional risk systems, private equity integrations, and production AI at a Fortune 500 investment manager.