Evidence before claims
We prefer executable systems, tests, public repositories and documented evidence over capability statements that cannot be inspected.
ABOUT TINLANCE
A technical AI/FDE company built around the operating environment.
Tinlance builds production-oriented AI systems across engineering, security, automation and Forward-Deployed Engineering. The focus is not simply adding AI to software; it is engineering the workflow, controls and delivery path around how the business actually operates.
01 / WHY FDE
From AI integration to operational engineering.
Forward-Deployed Engineering brings senior engineering judgment into the environment where the problem exists: workflows, data, systems, constraints, security and measurable outcomes.
THE SHIFT
Domain-specific engineering. Secure tool use. Evaluation. Operational ownership.
That means designing the boundary around an AI capability as carefully as the model or application itself, then testing the system against the conditions that matter in production.
AIEngineering
FDEDelivery model
SECControl discipline
02 / ENGINEERING PHILOSOPHY
Security by architecture
Identity, tenant boundaries, authorization, policy, risk and auditability belong in the system path—not as a late checklist.
Human control for consequential actions
High-impact operations should retain authorized human review and explicit policy boundaries.
Evaluation before autonomy
AI behavior needs evaluation and regression controls before increasing the scope of automated execution.
Production constraints matter
The useful system is the one that survives real data, integrations, security requirements, reliability constraints and operational ownership.
Reusable systems from real delivery
Repeated engineering problems can become playbooks, workflows and products when the evidence supports productization.
03 / ECOSYSTEM
One engineering practice. Clear product boundaries.
Tinlance is the public commercial and customer-facing platform. Its product ecosystem includes distinct systems with their own boundaries and evidence states.
Commercial + customer platform
Assessment, qualification, delivery, APIs, security and platform control layers.
FDE execution layer
Eight domain contracts and a reusable engineering platform for governed AI workflows.
Independent security product
ThreatFade is a distinct Tinlance-developed security product, with its own product identity and public repository.
Status: ValidatedVisit ThreatFade
Private control substrate
A proprietary foundation for governed agent execution; its current M0 foundation is intentionally private and in progress.
PUBLIC FOUNDATION
See the security model and engineering evidence.
Explore how Tinlance approaches security controls, platform architecture and public technical evidence before moving into a technical assessment.