Our pods don’t just code — they own outcomes. Each pod includes AI engineers, PMs, architects, and DevOps leads aligned to your system architecture and delivery velocity.
Pods plug into your tools, workflows, and governance structures — from CI/CD and cloud infra to Jira boards and QA workflows — without adding parallel processes.
We’ve shipped production systems for global enterprises across healthcare, pharma, SaaS, and semiconductors — including GenAI copilots, orchestration layers, and observability stacks.
We specialize in building for LLM-based agents, prompt chaining, memory layers, retrieval pipelines, and output governance — all structured for scale.
Each pod includes a tailored mix of AI/ML engineers, LLM specialists, architects, data scientists, and product-aligned PMs — pre-aligned to your stack and goals.
Pods typically mobilize within 3–7 business days — no extra onboarding required. They plug into your toolchain, repo structure, and cadence with zero ramp-up friction.
This isn’t staff aug. You get a cohesive team with shared context, built-in orchestration capability, and aligned ownership — measured by deliverables, not hours.
Both. We’ve shipped PoCs in weeks and taken products from zero to production — including eval loops, observability, and compliance hooks.
Every pod has a dedicated lead and delivery framework. We track outcomes, velocity, model quality, and stakeholder satisfaction — tied to delivery KPIs, not vanity metrics.
We start with a short call to understand your initiative — then design a custom pod structure that’s right-sized, technically matched, and aligned with what you need to ship.
