AI agency & technology partner
For ambitious teams without an internal technology department
Orkestra
Orkestra is the technology partner for non-technical teams. We connect the tools you already use, improve the processes between them, and build practical AI and software that saves time and supports growth.
No in-house technical team required.
One partner from idea to production
Built around your real operation
Supported as the business grows
Systems delivered for
Services
Tell us where work is getting stuck. We identify the leverage, design the right system, and own the technical delivery from plan to production.
Explore all servicesTechnology should make the business simpler.
We connect your CRM, inbox, forms, spreadsheets, documents, finance tools, and internal systems so information moves without copying and pasting.
What changes
One connected workflow instead of a collection of disconnected tools.
Integrations · APIs · Data sync
We replace repeated admin, manual reporting, slow handoffs, and fragile follow-ups with dependable workflows that run in the background.
What changes
Hours returned to your team every week, with fewer mistakes and delays.
Workflow automation · n8n · Monitoring
We build AI agents for support, research, documents, knowledge, and operations—grounded in your information and controlled by your rules.
What changes
Faster answers and decisions without losing human oversight.
AI agents · RAG · Voice & chat
When off-the-shelf tools cannot support the way you work, we build the dashboard, portal, internal platform, or SaaS product you actually need.
What changes
Software that fits the operation instead of forcing the operation to fit the software.
Internal tools · Portals · SaaS
Technology stack
We choose technology for reliability, maintainability, and fit—not because every project needs the same stack.
Claude
AI reasoning
LangGraph
Agent orchestration
n8n
Workflow automation
Python
AI & data
Next.js
Product interfaces
React
User experience
TypeScript
Reliable applications
NestJS
Backend systems
PostgreSQL
Business data
Supabase
Managed infrastructure
Docker
Portable delivery
GitHub Actions
Tested releases
Our point of view
A useful AI system is not a chatbot dropped on top of broken work. It is a carefully designed operation with context, control, and ownership.
Map the decisions, exceptions, handoffs, and economics before choosing a model or writing code.
Decide what should be automated, what needs judgment, and where a person must stay in the loop.
Ship the interfaces, integrations, monitoring, and documentation that make the system dependable in daily use.
The result is software your team can understand, trust, and keep improving after launch.
Strategy → System → Ownership
Case studies
A closer look at the business problem, the system we built around it, and the operational result after launch.
View every case study
Customer support and revenue operations
01AI Automation
The challenge
iPrint received over 500 customer queries daily across chat and phone. Their small support team couldn't keep pace, resulting in long wait times, missed follow-ups, and a deteriorating customer experience.
What we built
Built a combined AI support system: a chat agent for text queries and an ElevenLabs + Twilio voice agent for phone calls — both integrated with Stripe for real-time payment processing and automated appointment scheduling.
500+
daily support queries handled across chat and voice
Property operations and business intelligence
02SaaS
The challenge
OlalaHomes managed their rental portfolio across disconnected spreadsheets and tools — with no unified view of occupancy rates, rental revenue, tenant status, or maintenance requests across their properties.
What we built
Built a custom property management dashboard with interactive Recharts visualizations, tracking occupancy, revenue, tenant records, and maintenance requests — backed by a PostgreSQL database and Next.js frontend.
15h+
saved every week on manual portfolio reporting
Client outcomes
View all client outcomesThe feedback that matters shows up in the operation: less manual work, faster answers, and more time for the business.
iPrint
Measured client outcome
Support now scales across chat and phone without adding more pressure to the team.
MiniSport
Measured client outcome
The team finds consistent answers across internal documentation faster and with less repeated searching.
How we work
The same senior team stays close from problem framing through production and handover.
01
Define the outcome, constraints, users, and operational reality.
02
Make the system, scope, risks, and decisions visible before implementation.
03
Ship working increments in short cycles with direct stakeholder review.
04
Launch, document, and hand over a system your team stays in control of.
Leadership
Orkestra is led by three technical founders. Product, architecture, and delivery decisions stay close to the work from the first conversation to handover.
Small by design. Senior by default.
No account-management layer. No anonymous delivery team. No loss of context between strategy and implementation.
Clear expectations are part of good delivery. If your question is not here, bring it to the first conversation.
Start a conversation
One focused conversation about the operation, the friction, and what a useful first release should change.
Direct founder access
No generic sales deck
A clear next step
