The Core · 1.0 FTE
One forward-deployed engineer (FDE), full-time and dedicated. An AI-native generalist who runs ticket to spec to plan to PR, with deterministic gates. Pods start at one FDE and scale with the roadmap.
AI-NATIVE SOFTWARE DELIVERY SERVICES
Embedded engineering pods, one dedicated FDE plus a lean orbit, join your standups and run an agentic SDLC inside your existing codebase. Pod live in 2 weeks. Month-to-month.
AI VELOCITY POD™
A dedicated pod that embeds directly into your team and drives measurable velocity from day one.
POD SPEC
1.5 FTE total: one dedicated builder at the core, a lean orbit of services around it. One monthly price, month-to-month.
One forward-deployed engineer (FDE), full-time and dedicated. An AI-native generalist who runs ticket to spec to plan to PR, with deterministic gates. Pods start at one FDE and scale with the roadmap.
Shared services around the core: an AI-productivity lead, pooled PM and BA sized to the work, and a CSM who keeps the sponsor aligned on scope and outcomes. No idle overhead.
Once delivery stops being the bottleneck, QA becomes it. The pod automates QA so quality keeps pace with throughput.
4-6 hr daily overlap, daily stand-up, weekly demos, on-call runbook.
Baselined on day one: lead time, PR velocity, change-fail, MTTR. Velocity and quality visible weekly on live dashboards.
Principal Architect review and a quality gate before every merge. Defined cadence, risk tracking, and visible progress reviews.
Need domain depth? An industry tech partner joins the orbit when the vertical demands it: an RCM billing expert, a claims specialist.
BOOK A DISCOVERY CALLQA AUTOMATION
Manual QA at enterprise scale means 3,800 regression tests across 2.8 million lines of code and release cycles that stretch to six months. When delivery speeds up, QA becomes the constraint. Agents compress the regression work, and an embedded QA engineer (SDET) owns what they can’t: test strategy, exploratory testing, and release judgment.
BOOK A DISCOVERY CALLSHIFT-LEFT TESTING
AI-generated test coverage runs at the merge gate. Defects get fixed where they’re cheapest, before they ship.
REGRESSION AUTOMATION
Agent-built and maintained regression suites that keep pace with pod throughput. Same discipline behind the 85% incident-rate reduction case below.
STANDALONE OR INTEGRATED
Part of a Velocity Pod engagement, or a scoped QA automation track on its own. Same gates, same telemetry.
CASE STUDIES
Uplift measured against each client’s own baseline on our Dev Intelligence Platform. Not industry averages.
LOGISTICS PLATFORM
Embedded pod inside an existing platform team.
Uplift verified against baseline: $160K in annualized value.
FINTECH SAAS
Release hygiene, quality gates, and AI-native workflows
retuned inside a compliance-heavy environment.
INDUSTRIAL SOFTWARE
Modernized delivery on a decades-old industrial control
platform without disrupting production.
An essential part of our engineering team.
ABOUT LIMESTONE
US-facing, nearshore-powered, AI-native since before it was a pitch. Ten years of engineering on the market; applied AI since it could pass a code review.
ENGAGEMENT MODELS
EMBEDDED ENGINEERS
Our engineers join your standups, your repos, your rituals. You lead, they deliver, and they act like teammates because that’s what they are.
DEDICATED PODS
A pod plus structured PM oversight drives a workstream end to end. Cadence, backlog, and risk visibility stay on your dashboards.
FULL OWNERSHIP
Hand off the full lifecycle from planning to production. You stay looped in at every gate, without running the machine.
THE PROCESS
Applied AI engineering from baseline to compounding uplift, measured weekly against your own history.
Two weeks. We instrument your delivery with our Dev Intelligence Platform: cycle time, review load, open PR flow, and AI assist hours. You get a baseline and an architecture decision document.
Pod matched to your stack and domain. First standup within 2 weeks of signature.
Real code shipped to production inside 30 days. Not a plan for code. Code.
Every week, delivery metrics against your baseline. Visible to you, your COO, and your board.
Planning, code review, testing, and release processes rebuilt around AI-native workflows.
Principal Architect review before every merge. Speed without change-fail creep, or the speed doesn’t count.
When one pod’s numbers hold, the next one starts warm: same telemetry, same standards, compounding output.
If you want it in-house eventually, we train your team on the operating model as we go. The capability stays either way.
INDUSTRIES
Healthcare, insurance, mortgage & lending, and legal are where we go deepest. Financial services and enterprise SaaS round out the bench. We arrive knowing your constraints, not discovering them on your dime.
Delivery acceleration inside HIPAA boundaries and clinical-grade release discipline.
Built for
Roadmap speed that survives SOC 2 and state regulator review.
Built for
Lending roadmaps shipped at startup speed with bank-grade evidence trails.
Built for
Document-heavy practices where technology adoption is slow and the caseload isn't.
Built for
Fintech and banking platforms where every release meets an auditor
eventually.
Built for
Multi-tenant platforms shipping AI features without breaking existing customers.
Built for
FOR PRIVATE EQUITY
More than half our business is PE-driven. Sponsors bring us into portfolio companies to turn engineering drag into value creation the deal team can measure.
VALUE CREATION
20-40% more delivery capacity at flat headcount. On a portfolio company P&L, that’s operating leverage, not an IT line item.
NO PILOTS, NO CHECKBOXES
No 6-month pilots. The pod ships against the roadmap from week one, measured on the Dev Intelligence Platform from day one.
HOLD-PERIOD FLEXIBLE
Month-to-month, scaled to each quarter’s priorities, continuity through exit. Acquirers inherit a vendor already proven in diligence.
FAQ
The software development lifecycle rebuilt around AI at every stage: ticket to spec to plan to PR, with agents handling the chores and deterministic gates before every merge. Humans own the decisions; the pipeline proves the quality. Our pods run it inside your existing codebase, and our enablement program teaches your team to run it without us.