01Live by phone
Porter
An intake agent you can interrupt.
Call with a messy request, change direction, or ask for something outside scope. Porter is built to clarify, contain, and hand off.
Applied AI systems
AI that can survive contact with your business.
We design, test, and operate AI systems that answer real calls, use private knowledge, and stay inside clear boundaries.
- live systems
- 02
- scripted scenarios
- 43
- ring to pickup
- 01
Release evidenceLive
01InputVoice or question
02BoundaryAccess and policy
03ModelReason and retrieve
04ActionAnswer or handoff
A
PorterVoice intake agent
CallableB
CustosPrivate knowledge system
Open demoThe model is one component. The product is the boundary, evaluation, interface, and operating evidence around it.
Live proof
Do not take the deck's word for it.
Use the systems. Then inspect what was tested and what remains open.
Call 515.608.4723
02Live in browser
Custos
Private answers with visible boundaries.
Ask questions against a controlled knowledge base. Custos shows how retrieval, permissions, and citations work as one system.
What we build
Start where the work gets expensive.
Begin with one bounded workflow. Expand after its value, security boundary, and operating cost are clear.
Voice agents and intake
Answer calls, clarify intent, capture details, and hand work to the right person or system.
Private knowledge systems
Search controlled document sets with citations and permission-aware retrieval.
Agent workflows
Give models narrow tools for research, drafting, triage, and approved record updates.
Production hardening
Add evaluation, observability, cost controls, cloud delivery, and incident-ready runbooks.
The operating system around the model
The model is only one part.
A useful prototype can fail in production if access, actions, evaluation, and ownership remain vague. We make each one explicit.
Access
Who can see which source, record, or action.
Tools
What the model may do, and where approval is required.
Evaluation
Which known failures block a release.
Operation
What happens when quality, cost, or a dependency drifts.
How we work
Scope. Build. Prove. Operate.
- 01Define the boundary
Map the users, data, actions, and cost of failure.
- 02Build the narrow path
Ship the smallest useful system against real constraints.
- 03Prove what matters
Test quality, adversarial cases, latency, and cost.
- 04Operate or hand off
Deploy with monitoring, runbooks, and clear ownership.
Starting points
Price the unknowns before the build.
Start with a sprint or pilot. Expand when the first system has proven its value and exposed the real integration work.
Architecture sprint
Map one workflow, its data boundary, constraints, and success measures.
Voice intake pilot
One call flow, one handoff destination, monitoring, and launch evidence.
Private knowledge pilot
One team, one interface, a bounded document set, and permission testing.
Production implementation
Identity, integrations, deployment, observability, rollout, and support.
Care and hardening
Monitoring, eval maintenance, dependency updates, and incident support.
Final pricing depends on identity, integrations, deployment, rollout size, and support. No retainer is required to start.
Who builds it
Two senior builders. Directly accountable.
The people in the first meeting design, build, and test the system.
Founder and CEO
Ben Bolaji
Fifteen years turning field data into durable models at Corteva, with production work across geospatial analysis and model evaluation.
Co-founder and CTO
Andrew Bolaji
Nine years building production software at Vestmark, Veracross, and Honda, plus high-volume warehouse systems and the live demos above.
Bring the difficult workflow