We configure your first AI workflows and deploy them end-to-end.
Our team handles scoping, customization, integrations, and training. You get a production-ready system — not a sandbox.
Deep customization in 4–8 weeks, not 6–12 months.
Our engineers use AI-assisted development and the open-source community to deliver custom integrations and workflow logic 3–5x faster than traditional development cycles.
On-premise or cloud. Your choice, our commitment.
Includes staging environments, version control, backup, disaster recovery, and Service Level Agreements.
No vendor lock-in. The code is yours to inspect, fork, and self-host. Your investment is protected — even if you pause the relationship.
Pass any due diligence. Your security team gets full access to the codebase, architecture docs, and deployment configurations.
Your customizations live in a dedicated branch with robust version control. Updates merge cleanly without disrupting your workflows.
Dedicated staging, QA, and production environments ensure thorough testing and smooth rollouts for every release.
Version releases are approved in partnership with your team, aligned with your internal standards and deployment cadence.
We learn about your business processes, existing tech stack, and AI readiness. You meet your dedicated implementation lead. This usually happens within days of reaching out.
We map your workflows, identify automation opportunities, and design the integration architecture — including LLM connectivity (local or cloud-hosted), data sources, and human approval points.
Using AI-assisted development, we adapt the Pneumatic core to your exact requirements. Custom integrations, branded interfaces, and workflow logic — delivered in weeks, not months.
We deploy to your infrastructure (on-premise, private cloud, or our managed cloud) and train your team to operate the system independently.
End-to-end verification with your stakeholders. We ensure every workflow performs as designed before going live.
Your success manager conducts monthly system health checks and quarterly performance reviews, identifying opportunities to optimize and expand your AI workflows.
As your processes evolve and new AI capabilities emerge, we iterate alongside you. Continuous improvement is built into the engagement — not sold as an upsell.
Dedicated support with guaranteed SLA response times. Every engagement includes prioritized incident resolution:
Response within 4 hours. Resolution within 1 business day.
Response within 8 hours. Resolution within 3 business days.
Response within 1 business day. Resolution timeline agreed based on scope and severity.
The core engine is open source under Apache 2.0. No black boxes. Your security team can audit every line before deployment. If we part ways tomorrow — the code, the data, and the infrastructure stay with you. That's the deal.
Open
Roadmap
MIT
SDKs
Apache 2.0
License
Two ways to get started:
