Limestone Digital
Limestone Digital embeds AI engineering pods into legacy systems to ship production features fast without costly rewrites or platform migrations.
Limestone Digital at a glance
- Pricing
- Paid
- Key strengths
- Ships AI features into legacy code without rewrites · Performance-based uplift guarantee on delivery outcomes · Embedded pods integrate with existing repos and standups
About Limestone Digital
Limestone Digital specializes in embedding AI capabilities directly into existing enterprise software environments. Rather than forcing companies into expensive rebuilds, the service inserts small nearshore engineering pods that join daily standups, work inside the client's repositories, and own delivery outcomes end to end. This approach lets engineering leaders add AI functionality to legacy systems while keeping their current architecture, tooling, and data pipelines intact.
A core differentiator is DevInt, a developer intelligence layer that connects version control, issue tracking, and AI usage into clear weekly metrics. Teams gain visibility into cycle time, review load, AI assist hours, and token spend per engineer, which makes it easier to measure productivity gains and justify continued investment in AI-native workflows. The Velocity Framework backs this with a documented measurement-plus-process-plus-AI playbook and a written guarantee: if the engagement does not produce at least a 15 percent uplift, the invoice is waived.
Beyond shipping features, Limestone Digital builds custom agentic AI systems on the client's existing stack and runs AI training programs that turn early experiments into lasting engineering habits. Security and compliance are treated as table stakes, with least-privilege access inside the client's cloud and identity provider, plus SOC 2, GDPR, and HIPAA-aware practices and clean IP assignment. The result is a low-friction path for organizations that want real AI adoption without the risk and cost of replacing proven systems.
Features
- Embedded AI-Native Engineering Pods: Small nearshore pods join existing standups, work in the client’s repositories and tools, and are accountable for shipping outcomes against delivery baselines.
- DevInt Developer Intelligence: DevInt connects version control, issue tracking, and AI usage into weekly views of cycle time, review load, AI assist hours, and token spend per engineer.
- Custom AI Agents on Your Stack: Develops agentic AI systems on top of the client’s current product and data, from data foundation and pilot through to production.
- AI Training & Enablement: Builds AI-native habits across engineering, technical leadership, and delivery teams so AI-first workflows persist after the engagement.
- Velocity Framework & Uplift Guarantee: Uses a repeatable “measurement + process + AI” playbook with a ≥15 percent uplift target and a written “no measured uplift, no invoice” policy.
- Security- and Compliance-Ready Delivery: Works in the client’s cloud and identity provider with least-privilege access, SOC 2, GDPR, and HIPAA-aware practices and clear IP assignment.
Pros
Cons
Limestone Digital Pricing Plans
AI Training & Enablement
Custom
Custom AI Agents and DevInt
Custom
