LLM applications & AIOps, engineered for security
We build large-language-model applications — assistants, agents, and document intelligence — and apply AI to operations: anomaly detection, predictive scaling, and automated incident response. Deployed in your cloud or GovCloud boundary, not a third party's.
AI products, built to survive contact with production
Not demos — retrieval-grounded, evaluated, monitored, and secured.
RAG & Document Intelligence
Retrieval-augmented assistants over your policies, contracts, and knowledge bases — with citations, access controls, and freshness.
Assistants & Agents
Task-oriented copilots and multi-step agents with tool use, human-in-the-loop approval, and bounded permissions.
Private & Compliant Deployment
Self-hosted or GovCloud inference so prompts and data never leave your boundary. Air-gapped options for classified environments.
Guardrails & Safety
PII detection and redaction, prompt-injection defense, output filtering, and policy enforcement at the gateway.
Evaluation & Testing
Groundedness, accuracy, and regression test suites in CI — every model or prompt change is measured before it ships.
Integration & APIs
LLM capability wired into existing apps, workflows, and mobile products — on the secure infrastructure we already build.
AI applied to operations
Turn logs, metrics, and traces into detection, prediction, and automated response.
Anomaly Detection
Model-based baselining on metrics and log streams to catch incidents before thresholds or users do.
Alert Noise Reduction
Correlation and deduplication that collapses alert storms into a single, actionable signal with probable cause.
Predictive Scaling & Capacity
Forecast demand and cost, right-size ahead of load, and feed the numbers back into FinOps.
Automated Remediation
Runbook automation and safe auto-rollback wired to the CI/CD pipeline — with guardrails and audit trails.
Root-Cause Assist
LLM-assisted triage that summarizes what changed, links the deploy, and drafts the incident timeline.
MLOps Foundations
Model registry, pipelines, drift monitoring, and rollback — the same rigor we bring to application delivery.
Built to the standards you answer to
Our AI work aligns with the NIST AI Risk Management Framework and your agency's data-governance requirements — documented model risk, data lineage, human oversight, and evaluation evidence you can hand to an assessor.
Have an AI use case or a noisy ops problem?
Tell us the workflow, the data, and the constraints. We’ll come back with an approach, an evaluation plan, and a clear quote or SOW.