Production engineering, first
Multi-tenant, audit-ready, cost-controlled. We have run advanced microservice stacks on AWS for businesses that could not afford to be wrong.
Orchestra AI
Agent orchestration
for production AI workflows.
We make agents production-grade inside the vertical SaaS you have already shipped. Multi-tenant, audit-ready, model-neutral — built by founding engineers.
- Agent orchestration
- Vertical SaaS, Seed → Series B
Movement I · The problem
Agents that work in dev break in production.
Demos do not survive contact with real products. Multi-tenancy, audit, cost spikes, tool failures, customer load — the gap between an AI prototype and a feature your customers can rely on is exactly where most teams stall.
Orchestra exists to close that gap. We bring 25+ years of production engineering to the orchestration of agents inside live SaaS products. Not another framework. Not another POC. Software that holds up.
Movement II · Why Orchestra
Depth where it matters.
Specialised in vertical SaaS
Every engagement is a vertical SaaS or a production AI workflow. No horizontal generalism — depth in the shape of system you actually run.
Framework- and model-neutral
LangGraph, CrewAI, Mastra, Claude or OpenAI Agent SDKs — and any model. Your stack, your call. Orchestra adapts.
OSS-backed methodology
Patterns we use repeatedly become opinionated libraries — multi-tenant agent isolation, MCP-from-schema, audit-grade logging. The methodology is inspectable, not a black box.
Movement III · How we work
Three steps. No theatre.
Movement IV · What we build
Production-grade agent capabilities.
Multi-agent orchestration
Planning, routing, tool use and recovery across multiple specialised agents — designed for production load.
Embedded product agents
In-product agents with scoped tool use over your tenant data, switchable models and audit-ready traces.
Semantic search & retrieval
Hybrid lexical + vector retrieval with evaluation harnesses so quality is measurable, not folklore.
RAG over product data
Tenant-scoped retrieval-augmented generation over the data your product already stores.
Summarisation & insight workflows
Background workflows that turn raw activity into customer-facing summaries, reports or alerts.
Agent observability & audit
Per-tenant traces, cost attribution and compliance-shaped logging for regulated verticals.
Movement V · Case studies
Applied AI, shipped.
Proof from the Hyperdrift studio — live products, contest entries, and the fleet Orchestra itself runs on. Each demonstrates a pattern we ship into client engagements.
Helm
Google "All Things Agentic" hackathon entry: an agent crew at the wheel of a live four-app fleet with scoped authority — the Commander decides, the Watch Officer reads push-based PostHog signals, the Engineer acts only through allow-listed tools. Includes a self-healing drill against a deliberately broken, prompt-injected sandbox service.
- Handing one agent the production keyboard is how incidents happen; handing it nothing is how nothing ships.
- Fleet-scale orchestration with per-agent scoped authority.
- Gemini 3.5 · ADK · Fleet MCP · PostHog signals · Cloud Run
own-stack
Server-rendered React with five production dependencies: typed server functions across the wire, no API routes, pure cascading CSS. The reference stack every new Hyperdrift app inherits.
- Framework lock-in taxes every feature after the first; most of the dependency tree serves the framework, not the product.
- Owned, minimal full-stack architecture.
- Waku RSC · TypeScript · Better Auth
CLI meets UI
A log-investigation UI where the command palette, vim navigation and a chart-filtered table make the whole workflow zero-click — terminal speed in the browser, installable as a PWA.
- Browser devtools are slower than terminals for operators who live in the work.
- Operator-grade interaction design for data-dense tools.
- React · URL-synced state · PWA
Hyper Video Mesh
Video understanding pipeline that turns long-form footage into queryable, agent-actionable segments.
- Long-form video is opaque to product workflows — search and retrieval stop at titles and tags.
- Semantic segmentation + retrieval-augmented agent flow over video.
- OpenAI Whisper · Embeddings · Vector search · TypeScript
Movement VI · Packages
Fixed-scope, scoped per engagement.
Every product is different, so pricing is per engagement. Start a conversation and we will scope concretely.
Multi-Agent Orchestration
Design and deploy a tenant-aware multi-agent flow inside your product — planning, tool use, recovery, cost controls.
- Per-tenant memory and tool scoping
- Cost attribution and quotas
- Observability and audit-ready traces
Product Agent
An agent embedded inside your product with tool use over your own data. Multi-tenant, audit-ready, model-neutral.
- Tool use scoped to tenant data
- Conversation memory + handoff
- Switchable models (OpenAI, Anthropic, local)
AI Search & Retrieval
Semantic + lexical retrieval over the customer data your product already stores. Hybrid ranking, evaluation harness.
- Hybrid lexical + vector ranking
- Tenant-aware embedding stores
- Eval harness so quality is measurable, not vibes
No budget? Then we partner.
For a small number of products a quarter, we build the automation for free and validate the partnership on traction alone: if the work moves your numbers, the partnership stands and we share the upside; if it does not, you owe nothing and keep everything we shipped. Orchestra is the partner in the work — your team stays focused on profit while the automation earns its place.
Movement VII · FAQ
Questions we hear often.
Do you work with our existing stack?
Yes. We meet your product where it lives — Rails, Django, Next.js, Laravel, Postgres, MongoDB, the lot. Orchestra integrates; it does not displace.
Which models and frameworks do you use?
Model-neutral. OpenAI, Anthropic, local models — your choice. Framework-neutral too: LangGraph, CrewAI, Mastra, Claude Agent SDK, OpenAI Agents SDK. We adapt to your constraints.
Who owns the code?
You do. Everything we ship is yours, in your repo, under your licence. No proprietary runtimes you cannot leave.
How do you handle multi-tenancy?
Multi-tenancy is the centre of our methodology, not an afterthought. Per-tenant memory, tool scoping, cost attribution and audit trails are part of every engagement.
What happens after launch?
We hand off with documentation, runbooks and observability already wired. Optional retainers are available; lock-in is not part of the offer.
How is pricing determined?
Every product is different, so pricing is per engagement. We scope concretely after a short conversation — no decks, no discovery theatre.
Movement VIII · Contact
Start a project.
Tell us a little about your product and what you want to ship. We reply within a working day.
- One working day
- 2 to 4 weeks, scoped concretely
- Remote · EU/UK hours