AI Systems, Shipped
We build AI systems that ship. Fast. Secure. Measurable.
Partner with a crew that scopes the right workflow, prototypes with your data, and deploys with governance and evaluations already wired in.
- • Discovery → production in weeks, not quarters
- • Guardrails, logging, and approvals from day one
- • Teams versed across OpenAI, Anthropic, Vertex, and private stacks
Lead Time
2–8 weeks
From strategy sprint to production release.
Surfaces
Web, chat, ops
Assistants, dashboards, or embedded UI.
Proof we build fast
We built Zosavi ourselves to prove speed and quality. That same playbook powers our B2B deliveries.
Proof
We ship and we use AI ourselves
Zosavi shows we can take a concept to production quickly. Internally we use the same AI stack for knowledge management, spec drafting, and deployment automation.
- • We shipped Zosavi end-to-end to prove we can move from idea to App Store release fast.
- • We run AI internally for knowledge management, spec drafting, and deployment automations.
- • We evaluate rigorously: citations, safety classifiers, and shadow-mode rollouts before writes.
AI Agents & Automations
01Orchestrated agents for tickets, routing, and back-office workflows with human approvals.
- • Structured + unstructured inputs
- • LLM + tool orchestration
- • Observability + alerts
Knowledge & RAG Systems
02Governed retrieval, citations, and evals to keep answers trustworthy across teams.
- • Ingestion + permissions
- • Citations + confidence
- • Eval harness + feedback
Document Intelligence
03Parsing, classification, and extraction pipelines built for accuracy and auditability.
- • Template + freeform docs
- • Deterministic + LLM hybrid
- • Reviewer queues + logging
Featured Use Cases
Where teams engage us
We focus on measurable wins with data governance in mind.
Process
How we partner
Clear stages, weekly demos, and decisions recorded so stakeholders stay aligned.
Frame
Define the business outcome, success metric, and constraints.
Prototype
High-fidelity workflow with instrumentation and gated actions.
Ship
Harden data access, add evals, and deploy behind feature flags.
Scale
Monitor, iterate, and expand to adjacent teams with confidence.
Packages
Engagement options
Pick the pace that matches your roadmap; all include governance and evals.
Sprint
2 weeksStrategy + prototype proving the workflow and success metrics.
- • Current-state mapping
- • Pilot workflow + UI
- • Architecture + run cost model
Build
4–8 weeksProduction-grade delivery with observability and guardrails.
- • Data + permission model
- • LLM + tool orchestration
- • Evals + human review
Scale
OngoingReliability, rollouts, and continuous improvements tied to metrics.
- • A/Bs + drift monitors
- • Shadow → canary rollout
- • Playbooks + handoff
Why trust us
Enterprise-ready from day one
We design for reliability, security, and change management so your teams can adopt with confidence.
- • Security-first: RBAC, audit logs, data residency options.
- • Model-agnostic: OpenAI, Anthropic, Vertex, or on-prem per your constraints.
- • Measured delivery: every build ties to a success metric and rollout plan.
- • Transparent process: weekly demos, shared dashboards, and recorded decisions.
FAQ
Do you work with regulated data?
Yes. We design data handling with PI/PHI/PCI awareness, redaction, and audit logging. Access patterns are reviewed with your security team.
How do you pick models?
We stay model-agnostic, selecting based on latency, cost, safety profile, and your data constraints. We back choices with evals.
Can you embed with our team?
Yes. We work as an extension of product/engineering, pairing daily and shipping weekly increments.
Ready to move
Let’s scope your AI system
Book a strategy call to map the fastest path to a production launch with governance in place.
What to expect
- • 30-minute discovery with a builder, not sales.
- • We co-define success metrics and risks.
- • You get a concise plan within 48 hours.