Our development approach
Start from the workflow, establish boundaries, develop against real examples and define the handover.
Explore approach ↗What needs to change?
Identify a narrow, high-value task and the person accountable for its result.
Sonexa Labs / The company
The lab is the company. The systems are the output.
We are an applied AI lab focused on venture capital. We design and develop models and agents around the investment processes, institutional knowledge and data of individual firms.
01 / Our point of view
Venture is not one standard operating model.
Two funds can operate in the same market, at the same stage, and still define a good opportunity differently. We begin with those differences, then build the system to reflect them.
“We don’t ask funds to adopt a standard model. We develop models and agents around the way the fund operates.”
02 / What we work with
Technical work, grounded in fund context.
01
Fund context
Internal process, investment criteria, permissioned data and source rules.
02
Models
Defined AI behavior and evaluation relevant to the specific workflow.
03
Agents
Scoped tasks that use tools and sources under agreed controls.
04
Human judgment
Validation, escalation and review designed into the system.
03 / The output
Working systems. Not a slide deck of possibilities.
The scope of each engagement defines what is built, how it is evaluated, where it is deployed and what documentation and deliverables your fund receives.
Ownership & deployment
Clear agreements covering commissioned work, deployment, data, documentation and third-party dependencies.
Explore delivery ↗04 / The lab mindset
Each build begins with a testable question.
A model is useful when its performance can be assessed against a fund’s real workflow. A lab approach prioritizes evaluation, technical clarity and controlled delivery over grand claims.
01 / Define
02 / Examine
What evidence can it use?
Define permissible sources, quality thresholds, uncertainties and permission boundaries.
03 / Test
How will we know it works?
Assess representative examples, exception cases and error-handling before treating outputs as reliable.
04 / Transfer
How does the firm keep using it?
Document the delivered components, dependencies and operating responsibilities.
05 / Lab outputs
Repeatable venture problems.
Juno is our first standalone product, created to support early company discovery and sourcing follow-through.
Explore Juno ↗Distinct fund-specific requirements.
Commission models and agents for workflows where the criteria, controls and desired deliverables are specific to your firm.
Explore tailored systems ↗A working conversation
Bring us your fund’s hardest workflow.
We’ll assess whether a purpose-built model or agent is justified, and what developing it would involve.