Celadon
OpenAI
Anthropic
xAI
You.com
Databricks
Snowflake
Microsoft
Google Cloud
Vercel
SupabasePineconeCeladon designs and builds custom AI systems — focused, high-conviction engagements where architectural depth decides the outcome. We deliver into production and stay accountable for as long as you want us in the room. Depth over breadth, every time.
Each is its own engagement. Buy one, or sequence several as the work earns the next step.
Assess current state, find the highest-value opportunities, and surface the architectural decisions that decide whether AI delivers.
The business case, build-versus-buy and vendor selection, architecture choices, and success metrics that move AI from approved to running.
Bespoke AI built and delivered into production. Celadon leads architecture and accountability; senior engineers build.
Workshops, playbooks, and adoption programs built around the platforms your teams already use.
Executive-ready artifacts produced across Audit, Strategy, Build, and Enablement. Each is a decision input, not a slide deck — scoped to the engagement you choose.
Every engagement is custom, but the patterns repeat — grounded, cited, governed systems, most of them retrieval-augmented (RAG), built around your workflows, data, and operating model.
Grounded, cited answers over policies, documents, and institutional knowledge — retrieval-augmented and permission-aware.
Guide customers, guests, and members through high-value decisions and service workflows.
Track competitor pricing, product, and market signals as a continuous system, not a quarterly report.
Turn account data, CRM history, and public signals into useful pre-call research and renewal context.
Make obligations, terms, and policy answers searchable and citable — without giving up control or auditability.
Connect AI into the systems teams already use, instead of forcing yet another standalone app.
Pull together evidence from public and private sources, with citations, for teams that read for a living.
Synthesize information across teams, tools, and documents so leaders decide faster with better context.
Patterns repeat across these industries. The work is not exclusive to them — this is where Celadon moves fastest.
Concierge and guest-experience systems, property knowledge, revenue operations, and staff enablement.
Member and fan engagement, partnership intelligence, and internal knowledge systems that personalize at scale.
Document review, statement drafting, tax research, and governed client knowledge — through staff turnover.
Sales intelligence, support automation, product knowledge, partner enablement, and internal workflows.
Scattered product knowledge, complex sales channels, distributor networks, and dense technical documentation.
Governed knowledge systems, research workflows, field enablement, and operational intelligence.
Most AI work fails on architectural decisions, not model choice. We design the system first — data flows, integration points, evaluation, failure modes.
A pilot that never ships is not a result. We stay involved through deployment, handing over systems that run, with a working feedback loop.
Not tied to a platform, model, or vendor. The right tool is the one the system requires — recommended in your interest, not a partner's.
Each phase is scoped, priced, and tied to a business objective before work begins. No per-seat licensing, no open-ended meter.
Celadon keeps AI work commercially simple. Each phase is scoped, priced, and tied to a clear business objective before work begins. No per-seat licensing. No open-ended time and materials.
Define the objective, workstream, timeline, stakeholders, and success criteria before the phase begins.
Agree a fixed fee for the phase. New scope becomes a new agreed phase, not a meter running in the background.
Tie the work to revenue, cost, risk, productivity, or customer experience before build money is spent.
A focused conversation to find where AI creates value, what to avoid, and what's worth scoping first.
A focused conversation to understand your goals, constraints, systems, and highest-value AI opportunities.