Services
We embed with engineering teams to ship production-grade AI systems — agentic workflows, RAG pipelines, LLMOps, and the operational scaffolding to sustain them.
Agentic AI Systems
Design and implement autonomous AI agents with human-in-the-loop controls, tool orchestration, memory management, and multi-agent coordination. Function calling, planning, fallbacks, guardrails, and auditability built in from the start.
SDLC AI Enablement
Integrate agentic workflows across your software development lifecycle — automated code review, test generation, deployment automation, and developer tooling. We establish an operating model with intake, prioritization, evaluation, and monitoring of AI-augmented dev workflows.
RAG & Retrieval Systems
Build retrieval-augmented generation pipelines over your proprietary data. Document ingestion, chunking strategies, embedding pipelines, vector stores, hybrid search, and rigorous evaluation for precision, recall, and latency.
LLMOps & Evaluation
Production ML/LLM operations — experiment tracking, prompt versioning, CI/CD for models, drift detection, A/B testing, shadow deployments, and cost/usage dashboards. We set up the infrastructure so your team can iterate with confidence.
AI Strategy & Roadmapping
Pragmatic AI adoption roadmaps tied to business outcomes. We identify high-leverage use cases, evaluate build-vs-buy tradeoffs, define success metrics, and scope engagements that deliver measurable improvements to delivery speed and quality.
AI Governance & Safety
Implement responsible AI with proper guardrails at every layer. Prompt injection defenses, content filtering, red teaming, compliance documentation, quality gates, and audit logging. Designed for regulated environments.
Engagement models
Advisory
Ongoing access for architecture reviews, agent design reviews, and strategic guidance. Weekly or biweekly cadence.
Project
Scoped engagement with defined deliverables and evaluation criteria. Typically 4–12 weeks. Fixed scope, measurable outcomes.
Embedded
We join your team for 3–6 months. Work in your repos, attend your standups, ship with your engineers, and transfer all knowledge before we leave.
What you get
Production systems
Not prototypes. Everything ships to real users with monitoring, evals, and rollback plans.
Evaluation frameworks
Offline and online evals, A/B testing, drift detection, and quality gates your team can run.
Playbooks & docs
Operational runbooks, architecture docs, and enablement materials so your team scales independently.
No lock-in
Your code, your repos, your infra. We pair with your engineers so they own everything when we leave.
Let's talk
Tell us what you're building. We'll scope an engagement.