AITechPros.ai is engineering a proprietary agentic orchestration layer. We are currently partnering with a select cohort of design partners to refine our core engine before a wider release.
We don't sell services — we co-build the future. A select cohort of forward-thinking enterprises helps us refine our agentic orchestration engine while receiving bespoke AI solutions that eventually become part of our scalable platform.
We select 3–5 companies per cohort whose AI challenges align with our platform thesis. Through intensive workshops, we map your highest-value automation targets and define a joint success framework.
Our engineering team embeds alongside yours to architect and deploy custom agentic workflows on our proprietary orchestration layer. Every solution is purpose-built, not templated.
The patterns and primitives proven through your deployment feed back into our scalable platform. Design partners receive perpetual preferred pricing and early access to every future capability.
Cohort 1 is currently in progress. We are now accepting applications for Cohort 2 (Q3 2026). Ideal partners are Series B+ enterprises with complex, multi-system workflows and a willingness to co-develop at the frontier of autonomous AI.
We are not building another chatbot wrapper. Our agentic orchestration engine is a vertically-integrated runtime purpose-built for autonomous enterprise workflows.

Our agents maintain long-term episodic and semantic memory across sessions, enabling contextual reasoning that improves with every interaction — not just within a conversation, but across deployments.
A custom event-driven runtime replaces traditional request-response patterns. Agents communicate via an internal message bus optimized for real-time multi-step task execution at enterprise scale.
Our orchestration layer intelligently routes each sub-task to the optimal model — balancing cost, latency, and capability. GPT-4o for reasoning, Claude for analysis, Gemini for multimodal, local models for sensitive data.
Agents maintain transactional state across tool invocations, enabling complex multi-step workflows (CRM → ERP → email → Slack) with automatic rollback on failure and full audit trails.
Configurable approval gates, confidence thresholds, and escalation policies ensure autonomous agents operate within defined guardrails — critical for regulated industries.
A library of battle-tested agent building blocks — planners, executors, evaluators, critics — that can be composed into novel architectures without starting from scratch.
A transparent look at where we are and where we're headed. We believe in building in public with our design partners.

We spent the last decade building AI systems inside some of the world's largest enterprises. We saw the same pattern everywhere: brilliant data science teams bottlenecked by fragile pipelines, siloed tools, and the inability to move from proof-of-concept to production.
The emergence of large language models changed the equation — but the orchestration layer to make them truly autonomous in enterprise contexts didn't exist. So we decided to build it.
AITechPros isn't a consultancy that happens to use AI. We are an AI-native engineering company building the infrastructure layer that will power the next generation of autonomous enterprise workflows. Our design partner model ensures we build with — not for — the companies who will define this category.
If you're a founder, CTO, or VP of Engineering who believes AI agents will fundamentally reshape how your organization operates — we'd love to talk.
The Founding Team
AITechPros.ai — Atlanta, GA
We partner with a select group of forward-thinking enterprises. Tell us about your organization and the AI challenges you're looking to solve.
Monthly insights on agentic architecture, multi-model orchestration, and the future of autonomous enterprise AI.