TECHNISOFIA LAB
Decision-grade assurance • Measurable uplift • Controlled disclosure
Frontier models are extraordinary—yet adoption into the highest-value, trusted applications remains constrained by reliability, auditability, and defensibility. Technisofia Lab’s LLM Enhancement Sidecar is built to remove those blockers with decision-grade assurance and measurable uplift, without modifying foundation model internals.
A structural enhancement layer that turns powerful but opaque model output into decision-grade, defensible deliverables—without exposing internals.
Audit-ready outputs suitable for technical, commercial, and governance diligence.
Reproducible deltas under defined conditions, reported as defensible comparisons.
Reduce friction for procurement and deployment in high-trust applications.
We do not ask partners to “take it on faith.” The Sidecar is built around outputs that can be inspected, tested, and defended.
We share only what is necessary, when appropriate—enabling evaluation without unnecessary disclosure of sensitive methods.
Designed for the organisations that must ship, defend, and scale trusted AI.
Leapfrog trust and adoption with defensible assurance that customers can accept and regulators can withstand.
Strengthen platform assurance posture and accelerate enterprise deployment in high-value applications.
Evaluate and deploy high-stakes AI with audit-ready outputs and structured evidence suitable for scrutiny.
We work in an area most of the sector underweights: the structural layer required for trusted, decision-grade deployment.
While much development concentrates on model scale and incremental optimisation, we engineer the epistemic and evidentiary layer that makes frontier AI defensible at scale—across the Sidecar and our pipeline.
The LLM Enhancement Sidecar—built to unlock trusted adoption in high-value, high-scrutiny contexts.
Additional powerful AI solutions are in development within the Lab. Details are available to qualified parties.
Built from long-term knowledge research leading to the synthesis of wisdom, combined with high-level computation and coding practice (MIT / Cambridge), and supported by skilled senior industry executives with deep delivery experience.
Evidence-first, no hype, auditability by design, determinism where it matters, and controlled disclosure.
Qualified enquiries only. If you have mandate and timeline, we move quickly.
Charles Liasides
Founder, Technisofia Lab
charles.l@technisofia.com