VANGUARDIUM
Turn GenAI into
measurable value.
Start with the highest-ROI workflow. Build it into production.
Vanguardium helps companies turn GenAI from experiments into working business systems. We identify one high-ROI workflow, build the first production version, connect it to your data and operations, and make the impact visible.
Business outcome first
We start from revenue, cost, speed, quality or capacity. The technical design follows the value.
Working systems
Not a roadmap deck. A usable product, workflow or internal tool connected to real operations.
Production depth
Under the hood: agents, orchestration, evals, approvals, observability and recovery paths.
First we decide where GenAI actually fits.
Then we build the lowest-friction wins into production.
The service starts at CTO/CGAIO level: business priorities, current systems, data reality, risk, people and ROI. Only after that do we choose the right GenAI solution and build the first useful system.
CTO / CGAIO alignment
We map where GenAI belongs in your business, what to build, what to buy and what to avoid.
Low-hanging fruit audit
We find workflows where AI can reduce manual work, speed up decisions or improve quality without a transformation program.
Solution path
We choose the practical path: automation, agent workflow, internal tool, data layer, vendor stack or custom build.
Prototype to working system
We build the first usable version with real data, clear users, success criteria and a path to production.
Agent workflows and orchestration
When useful, we design planning, execution, review, approvals, handoffs and recovery loops into the workflow.
Production rollout
We add the engineering depth only where needed: integrations, evals, observability, permissions, cost control and runbooks.
Built harnesses and end-to-end AI systems.
Vanguardium’s proof is in practical delivery: AI harness engineering, orchestration patterns, end-to-end systems, agent workflows, production architecture, AI training and domain-specific software. Below are anonymized examples from current and previous work.
Custom AI harnesses for real work
Built production-oriented AI harnesses with tool use, memory, model routing, orchestration queues, eval loops, approvals and human-in-the-loop operations.
AI commerce flow from intent to order
Designed the full flow: product understanding, buyer context, recommendations, cart preparation, handoff and operational process support.
Operational ML/AI systems
Designed data flows, modelling, inference, feedback loops and production architecture for operational AI/ML use.
Domain-specific AI systems and shipping capability
Turned research-based modelling, AI coding workflows and domain software into systems that teams can ship and operate.
Multi-agent operating model for expert work
Designed orchestration patterns that split work into planner, builder, reviewer and operator loops with clear approvals, handoffs and recovery paths.
Own vertical AI product engineering
Vanguardium also builds its own vertical AI products, testing harness patterns, orchestration loops, UX, model choices and production risks in practice.
From audit to production rollout.
A simple operating model keeps the first project focused: identify the leverage, build a real vertical slice, then harden only what must survive production.
AI opportunity audit
We identify workflows where AI can create leverage, then map the orchestration: actors, tools, approvals, data, risk and success criteria.
Prototype / pilot sprint
We build an end-to-end vertical slice with real data, interface, model layer, orchestration loop, integrations and success criteria.
Production rollout
We harden the harness, orchestration and system for production: evals, monitoring, permissions, cost control, runbooks and continuous improvement.
Find one high-leverage use case. Build it until it works.
The best first AI project is a concrete workflow where harness, orchestration, data, models, integration and operating model can be shipped as one system.
We also build our own vertical AI products.
Foundry keeps Vanguardium practical: the same harness engineering, orchestration patterns, product architecture and production patterns used in client projects are tested in our own AI products, automations and agent workflows. Public names are opened only with separate approval.
Industry-specific tools
E2E AI applications for narrow but valuable workflows where domain, data and distribution matter.
Agent operations in practice
Queues, subagents, reviewer loops, tool permissions, evaluation, monitoring and operator controls — not as a demo, but as a system that goes into use.
Own R&D, practical lessons
Lessons from harness design, orchestration, UX, models, pricing and production risk transfer directly into client work.
Founder-level realism.
Harness-level execution.
Vanguardium combines commercial judgment, AI architecture, hands-on harness engineering and orchestration design. The same team can say “not worth it” — and build the complete system when it is worth building.