Precision Is Not Negotiable.
We engineer mathematical validation harnesses, deterministic state-space sandboxes, and real-time prompt firewalls for mission-critical intelligent systems.
Audited production accuracy across clinical & fintech retrieval pipelines.
P99 latency of Adept Kawas real-time prompt firewall and payload sanitizer.
Deterministic finite-state machine enforcement for autonomous agents.
Automated fuzzing and red-teaming permutations tested per security engagement.
Why Probabilistic Systems Break Legacy Engineering
When software shifts from deterministic code to probabilistic intelligence, binary unit tests become obsolete.
Silent Reasoning Decay
Foundation model updates silently degrade reasoning calibration without failing traditional string assertions.
Unbounded Tool Surfaces
Autonomous agents dispatch APIs dynamically without deterministic finite-state machine boundaries.
Indirect Prompt Hijacking
Untrusted retrieved context bypasses perimeter WAFs to exfiltrate enterprise context.
Three Specializations
AI-Native QA & Testing
Automated continuous testing harnesses, synthetic adversarial generation, and statistical scoring.
Product Engineering
Multi-agent orchestrators, hybrid semantic retrieval, and deterministic state machines.
Cybersecurity & Firewalls
Offensive adversarial fuzzing, prompt injection defense, and sub-15ms inline security proxies.
Software Products Engineered by Adept
Proprietary software suites designed to embed directly into CI/CD pipelines and enterprise VPC perimeters.
Adept Mayar
Continuous QA platform executing synthetic edge-case generation, semantic grounding verification, and automated CI/CD release gating.
Adept Kawas
Inline high-performance security proxy that blocks real-time prompt injections, neutralizes poisoned RAG context, and enforces token entropy bounds.
Selected Engagements
Sub-Millisecond Hallucination Gating and Automated Validation for Clinical Oncology Diagnostic LLM
A fast-growing computational pathology firm integrated multimodal LLMs to assist radiologists in staging complex thoracic tumors. Prior to Adept engagement, probabilistic variance in model inference posed non-deterministic clinical risks that blocked FDA premarket notification (510(k)). Adept deployed the Mayar test harness and engineered deterministic hallucination boundary gates.
What Leaders Say
Adept transformed our AI validation from an existential clinical bottleneck into our strongest regulatory asset. Their precision harness gave our medical board unshakeable confidence in model determinism.
When autonomous agents touch multi-billion dollar ledgers, probabilistic reasoning is not enough. Adept gave us mathematical certainty and concrete perimeter defense without slowing our execution speed.
Adept solved an edge inference reliability problem that three different computer vision vendors told us was impossible under our cycle times. Their engineering rigor is unmatched.
Engineering Notes
Why Your QA Team Can't Catch What AI Systems Actually Break
Traditional QA teams test deterministic input-output mappings with binary assertions. In probabilistic systems, tests pass while the system fails catastrophically in semantic space. Here is the mathematical reality behind AI quality failure.
LLM-as-Judge in Production: Mitigating Evaluator Drift and Positional Bias
Using large language models as automated judges for production evaluation introduces self-preference bias, verbosity bias, and evaluator drift over fine-tuning cycles.
Synthetic Data Generation for Edge-Case Test Harnesses in Regulated AI
How leading medical and financial engineering teams synthesize millions of adversarial, boundary-testing scenarios without leaking private training data.
Non-Deterministic Regression Testing in High-Velocity Continuous Delivery
When temperature is non-zero, every commit can introduce silent regression. Here is how to architect statistical CI/CD gates that do not halt deployment pipelines.
Automated Test Authoring with Mayar: From Product Specs to Living Assertions
Deep dive into Adept Mayar’s automated authoring engine that parses product requirements, OpenAPI schemas, and user journeys into executable test harnesses.
Measuring Confidence Calibration in Probabilistic Systems
An uncalibrated model is dangerous: when it claims 99% certainty on a hallucinated fact, catastrophic failure ensues. Learn Expected Calibration Error (ECE) testing.
Frequently Asked Questions
Precision Is Not Negotiable.
Bringing mathematical certainty, deterministic boundaries, and real-time defense to mission-critical intelligent systems worldwide.