MOVE FROM AI AGENTS TO AI ENGINEERING TEAMS
Focus on your core business while managed multi-agent AI software teams run cost-effective, predictable, production-grade SDLC with the quality, velocity, and production confidence engineering leaders need
No change in your current processes or mental model
Local execution with your own agents and budgets
Non-intrusive, low touch deployment
Orqestra AI - built by engineering leaders, for engineering leaders
Constant Catch-Up Tax
Agents, models, and workflows evolve so quickly that teams are forced to spend time constantly re-learning tools and best practices instead of focusing on their actual engineering work.
Garbage In / Garbage Out
Weak, incomplete, or conflicting requirements produce noisy output that amplifies inconsistency instead of improving delivery quality.
Wasted Tokens, Wasted Budget
Unbounded token usage and weak prompting cycles burning budget with zero operational resource control and low quality delivery.
As An Engineering LEader, you know this Pain
AI Agents can generate code, fast.
But that is only a small part of the delivery process.
That is where delivery starts to break down.
Relentless Pressure to Deliver Faster
Business stakeholders expect engineering leaders to deliver 10x faster without compromising quality, security, or delivery predictability. LOC metric is back, tragically.
Code Review Fatigue
Engineers spend valuable time cleaning up AI slop instead of focusing on system design, architecture, and high-leverage engineering work.
Growing Technical Debt
Accumulating low-quality generations that drift from core architectural standards and governance.
Chaos of Tooling, Chaos of Processes
Engineers waste valuable time reinventing the wheel instead of delivering business value
Governance Chaos
Ungoverned agents operating independently create unclear ownership, inconsistent workflows, and little real control over delivery.
ORQESTRA AI
Imagine AI delivery built like a real team
Zero Change of Your Working Processes
Orqestra works through existing SCM, ticketing systems, IDE plugins and CLI tools, so your team can use it inside the environments they already know, without changing their daily workflows or learning a new toolchain.
Bring Your Own Agents
Orqestra works with your existing agents, running them locally on the engineers machines, while layering in Orqestra skills and prompts. Low touch onboarding, lower deployment risk, less operational disruption, and no need to hand over your API keys, tokens, or budgets.
From requirements gathering and architecture design to implementation, code and security review, Orqestra turns isolated chaotic AI workflows into coordinated software execution from A to Z
On-Demand, Managed AI Teams Running Locally
Assemble multi-role AI teams around your delivery needs, running locally with your existing tools and workflows. Your code stays in your environment, your SDLC stays in your stack, and every run executes with role-specific skills, carefully crafted prompts, and budgets defined up front.
Built-in Leadership, Quality, and Security Roles
Every Orqestra team includes a Team Leader, Code Reviewer, and Security Reviewer by default. Add Architect, Frontend, Backend, DevOps, Data, QA, Product, or Project roles as needed.
Operational Visibility and Cost Control
Orqestra Control Center gives teams run-level visibility, execution insights, and detailed cost breakdowns to track performance and manage spend with precision. The era of burning premium models on every task is over: Orqestra helps you select cost-effective models per workflow and task type, cutting monthly AI bills while preserving quality and velocity.
Production-Grade Delivery Discipline
Every workflow is grounded in clear requirements, architecture-first thinking, strict quality gates, comprehensive testing, and rigorous code review.
A Managed AI Operating Layer
Orqestra continuously updates workflows, agent configurations, and engineering best practices, so your team can focus on shipping rather than re-learning the AI stack every few weeks.
Designed to support SOC 2 requirements
Orqestra is built on SDLC best practices defined by engineering leaders with decades of experience building products, scaling teams, and delivering business value in both startups and enterprise environments, designed to support SOC 2 requirements
ORQESTRA AI
move From self-managed AI workflows to managed AI delivery infra
Focus on Your Core Business
Your competitive edge is in building product and delivering value, not in constantly managing agents, workflows, and AI tooling churn. Orqestra offloads that operational burden into a managed delivery layer, so your team can focus on the work that actually matters
Spend Less, Deliver More
Control the chaos of AI adoption. Move from fragmented tool usage and unpredictable costs to a governed, repeatable delivery model with shared workflows, review roles, and cost control.
Just as cloud infrastructure replaced the burden of managing servers, managed AI teams reduce the operational overhead of assembling, governing, and scaling AI-driven software delivery.
Unlock Elastic Engineering Capacity
Scale your AI delivery capacity up or down the way you scale cloud infrastructure: expand when demand spikes, reduce when priorities slow down.
Avoid Vendor Lock
Orqestra is built around an open agent API, so you can plug in your own agents and connect third-party tools without being tied to a single vendor or model stack.
ORQESTRA AI
TRust center
Your Budget Stays Yours
Orqestra does not take over your model spend or sit in the middle of your token budgets. It works with your locally authorized agents and existing budget controls, so spend remains visible, governed, and under your control.
Orqestra is designed to meet strict security and privacy expectations around your IP, source code, and internal engineering data, so you can adopt AI delivery without compromising control.
Your Code Stays Yours
Customer's code is not sent to Orqestra Cloud or third parties and is never used to train external models. Orqestra is designed to protect your IP and keep sensitive source code under your control throughout the delivery workflow.
Your Credentials Stay Yours
Orqestra does not require or store your agents’ API keys or other sensitive credentials. It works with your local agents, so there is no need to expose secrets or hand over access to sensitive information.