// services
Three capability domains — software, security, systems — each delivered by hybrid teams of senior engineers and purpose-built AI agents.
// 01
We don't bolt AI onto existing dev workflows — we rebuild the SDLC around agentic systems. The result: production code shipped in days instead of months, with higher quality and complete audit trails.
Spec-to-code pipelines with multi-agent planning, review, and refactor. Humans direct, agents implement, both verify.
LLM-driven PR review on every commit — security, performance, maintainability, convention adherence.
Auto-generated unit, integration, and property-based tests with fuzzing. Coverage targets met in minutes, not sprints.
CI/CD with autonomous failure diagnosis, root-cause analysis, and remediation suggestions ranked by confidence.
AI-driven code translation, documentation synthesis, and incremental refactor plans for monoliths and mainframes.
Agent-powered interfaces designed with provenance, override, and traceability as first-class citizens.
AI tier-1 analysts that triage alerts, correlate events, and open incidents 24/7 with human-grade reasoning traces.
Behavioral analytics on identity, network, and endpoint telemetry — surfacing novel threats that signature-based tools miss.
Red-team agents that reason about attack surfaces, chain exploits, and generate adversary playbooks tailored to your stack.
Policy-as-code identity, device, and workload trust. Continuous verification, least-privilege by default, provable with evidence.
Prompt-injection testing, jailbreak evaluation, model-extraction defense, and data-leakage audits for your AI stack.
FedRAMP, SOC 2, HIPAA, ISO 27001 — control implementation, evidence generation, and continuous assessment.
// 02
Adversaries are already using AI — our clients defend with it. We embed autonomous agents into your SOC, pipeline, and runtime to detect, triage, and respond at machine speed.
// 03
Platforms that learn, adapt, and self-optimize. From data mesh to inference edge, we design and operate systems where ML is a first-class citizen of the architecture.
Model lifecycle automation — training, eval, deployment, monitoring, rollback — unified across classical ML and foundation models.
Quantized model deployment to constrained compute — tactical gateways, IoT, air-gapped environments, and offline-first apps.
Domain-oriented data platforms with lineage, quality SLAs, and self-service discovery for both analytics and model training.
Kubernetes, serverless, and multi-region designs with FinOps baked in. AWS GovCloud, Azure Government, and sovereign cloud ready.
Observability + agentic remediation. Systems that detect their own anomalies and apply approved mitigations before paging a human.
Agentic process automation across engineering, operations, and compliance — with policy guardrails and provable audit trails.
// how we work
A dedicated squad of senior engineers + agents for 90-day builds. Fixed-price, fixed-scope, shipped to production.
Deploy our AI-native engineering platform inside your environment. 30-day install, long-term support, bring-your-own models.
Ongoing operations of your SOC, MLOps, or SDLC — staffed by our engineers and our agents, under your SLAs.
