One operating standard across every team
Set one company standard for how teams direct, govern, review, and expand AI work in Codespeed.
Enterprise grade AI software development demands provenance, security, and governance far beyond what modern AI tooling provides.
Codespeed is the connective platform for AI to enter years of enterprise infrastructure, policy, risk, ownership, and operating history. Adoption requires a path that works across every team and system responsible for how the company builds, secures, governs, and scales.
Set one company standard for how teams direct, govern, review, and expand AI work in Codespeed.
Carry identity, data, credentials, infrastructure, model use, audit, and review requirements into every Codespeed workflow.
Set company-wide policy while each team retains authority over the decisions it owns.
Bring repositories, production environments, internal platforms, and change controls into the Codespeed operating model.
Establish the training, enablement, and support required to expand Codespeed across teams, business units, and regions.
Give leadership one view of Codespeed usage, spend, risk, decisions, and outcomes across the company.
Every enterprise brings a different technical estate, risk model, customer promise, and path to adoption. Codespeed Applied begins with that reality.
Core banking, claims and policy administration, regulatory reporting, and the legacy cores still carrying them, where a change needs review, data boundaries, and a decision record.
Records integrations, patient and clinician portals, clinical decision support, and the interoperability APIs partner systems depend on.
Developer platforms, cloud control planes, model and data infrastructure, and the security products built on top of them, where your codebase is what your customers run on.
Grid and plant control software, telemetry and sensor pipelines, dispatch and work order systems, and the maintenance tooling crews depend on.
Network software, provisioning and billing platforms, subscriber applications, and the edge systems still carrying traffic while a change ships.
Ground systems, downlink and telemetry processing, imagery pipelines, and the mission tooling analysts work in, where a release has to hold across an entire fleet.
Agency systems, scientific computing and simulation codes, high-performance clusters, and decades-old codebases that still produce the results people rely on.
Warehouse and inventory systems, routing and fleet software, partner integrations, and the planning tools that keep freight and orders moving.
Codespeed engineers work directly with your teams to reach the first production outcome faster, then adapt the platform for secure expansion across the organization.
Explore Codespeed AppliedApplied engineers work alongside your teams through setup, implementation, and launch, turning the first use case into a repeatable path.
Shape sandbox capacity, execution boundaries, private services, and infrastructure around the environment your teams already operate.
Bring repositories, internal systems, and operating workflows into Codespeed so work can move across the real enterprise stack.
Map your threat model to current Codespeed controls, document coverage and open risks, and support security review and SOC 2 readiness as adoption widens.
Platform and security teams can configure identity, access, data, production, and incident controls around the way their organization works.
Explore Security & TrustTell us what your company is building, how AI work happens today, and where you want the first operating capability to take hold.