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Open source · Built for regulated teams · Local / on-prem

Scale AI-assisted development.
Without losing control.

Let engineering teams work with AI coding agents while keeping security, access and development environments under control.

See Speedwave live Explore the open-source Core

Apache 2.0 · Built by Speednet · 24+ years in financial technology

The shift

AI adoption is moving faster than enterprise controls.

AI coding agents are no longer experimental tools. They read code, execute commands, use internal tools and interact with company systems.

The challenge is no longer whether engineering teams will use AI. It is how to let them use it safely and consistently across the organisation.

  • 84%

    of developers use or plan to use AI tools in software development

  • 81%

    are concerned about security and data privacy in the context of AI agents

Agents do more than chat. That changes the risk profile.

For regulated organisations, four things need to be standardised.

Access to code, secrets and tools
Policies what agents can and cannot do
Visibility what is running across endpoints
Evidence what was allowed, blocked and enforced
The control gap

Most approaches force a bad trade-off.

Most enterprises end up choosing between faster adoption, stronger control and the cost of building their own solution.

01 Restrict Slow adoption. Teams move slower or find their own workarounds.
02 Allow Lose consistency and control as every team and workstation operates differently.
03 Build Own another internal platform and maintain it as agents, models and requirements change.

Speedwave offers a fourth path: enable agents quickly, while keeping enterprise control.

The Speedwave approach

Give AI agents only the access they actually need.

Speedwave creates a controlled execution environment on the developer workstation and lets the organisation manage that standard centrally.

Control access Define what agents can use.
Enforce standards Apply consistent rules across teams.
Prove control See environment state, activity and exceptions.
Keep it current Manage versions, updates and rollout.

Governance without re-platforming development.

The business case

Move from isolated AI experiments to an enterprise standard.

Adopt faster

Give teams an approved path to use AI agents without waiting for tool-by-tool exceptions.

Build less

Avoid creating and maintaining your own security, integration and lifecycle layer.

Standardise once

Define one operating model across teams, tools and environments.

Keep control as you scale

Maintain visibility, policy enforcement and support as adoption grows.

Open-source Core · local / on-prem · endpoint-first · designed to avoid dependence on a single agent or model

Under the hood

Control where agents run, what they can access and how they interact with your environment.

Explore the technical documentation

Isolated runtime

AI workloads run inside a controlled environment separated from the developer workstation.

Credential separation

Agents interact with services without direct access to the credentials used to authenticate them.

Controlled tool access

Expose only the tools and integrations an agent needs for a given project.

Sensitive data protection

Apply local protection mechanisms before selected sensitive information reaches external models.

Telemetry and evidence

Capture structured information about environment state and agent activity for operational and security review.

Trusted integrations

Connect Jira, GitHub, GitLab, Redmine and other enterprise tools through controlled interfaces.

The ownership question

You can build it. The real question is what you want to own.

The first version is not the expensive part. Keeping the platform secure, compatible and current for years is.

Build and own internally

  • architecture and isolation
  • policies and integrations
  • distribution and updates
  • telemetry and evidence
  • compatibility with new agents and models
  • ongoing maintenance and support

Adopt Speedwave

  • open-source foundation
  • maintained security standard
  • central control and visibility
  • rollout and implementation support
  • continuous product development
  • flexibility to keep key components in-house

Keep technology control. Reduce the long-term platform burden.

Open source + Enterprise

Start open. Scale with Enterprise.

Speedwave Core gives you the technology. Enterprise turns it into a deployed, managed and maintained organisational standard.

Self-managed

Speedwave Core

For teams that want to run it themselves.

  • controlled agent environment
  • access to tools and integrations
  • telemetry
  • Apache 2.0
  • self-managed deployment and maintenance
Explore Core on GitHub
Managed at organisational scale

Speedwave Enterprise

For organisations that want to scale AI agents without building and maintaining the entire operating layer themselves.

Tailored deployment Configured for your environment, integrations and security requirements.
Central control Manage policies and environment state across deployments.
Organisation-wide rollout Deploy across teams and workstations with implementation, onboarding and training.
Lifecycle management Supported versions, security updates, compatibility and controlled rollout.
Ongoing support A Speednet product team keeps Speedwave deployable, supported and current within the agreed scope.
Explore the Speedwave roadmap

You keep control of the technology. Speednet takes on the ongoing product and operational burden of maintaining the platform.

Open source by design

Apache 2.0. Public on GitHub. Verify it yourself.

github.com/speednet-software/speedwave

Security-critical infrastructure should not require blind trust.

Speedwave Core is public, inspectable and available under Apache 2.0. Your security team can review the code, your engineering teams can extend it, and your organisation is not dependent on Speednet to keep access to the technology.

View Speedwave on GitHub

Inspect it

Security teams can review the implementation before deployment.

Own your deployment

Run Speedwave in your environment and keep control over configuration and data.

Avoid lock-in

The Core remains available regardless of your commercial relationship with Speednet.

Who gets the value

One platform. Different value for each stakeholder.

CTO / CIO

Scale AI adoption without creating another long-term internal platform.

Move faster with a supported standard instead of funding a permanent build-and-maintain effort.

CISO / Security

Turn AI agent usage into something you can control and verify.

Apply consistent controls and get centralised evidence of environment state and agent activity.

Platform engineering

Replace fragmented team-by-team setups with one supported standard.

Reduce the ongoing burden of integrations, versions, rollout and compatibility.

Engineering leaders

Give teams an approved way to work with AI.

Let developers use new tools without creating a different operating model for every team.

Where Speedwave fits

Built for organisations where AI agents are becoming infrastructure, not experiments.

AI is already happening Developers are already using or actively testing coding agents.
Security needs control Agent access to code, tools and internal systems is becoming a security concern.
Teams are building guardrails Platform or Security teams are starting to create their own runtimes, gateways or policies.
The environment is fragmenting Different teams are adopting different agents, models and approaches.
Regulated environment Security, traceability and operational control matter as much as developer productivity.
FAQ

Frequently asked questions

Is Speedwave another AI coding assistant?
No. Speedwave works around AI coding agents. It provides a controlled environment in which they can access code, tools and development systems.
Does Speedwave replace Claude Code, Codex or other coding agents?
No. Speedwave is designed to work with AI coding agents rather than replace them. Support and integration depth may vary between agents.
What is the difference between Core and Enterprise?
Core is Apache 2.0 open-source software that organisations can deploy and maintain independently. Enterprise is for organisations that want to deploy Speedwave as a managed standard across multiple teams and workstations, with central management, supported rollout, lifecycle management and ongoing product support.
Can we build this ourselves?
Yes. Speedwave is open source precisely because organisations should retain control over the technology. Enterprise is for organisations that do not want to build and permanently maintain the complete operating layer themselves.
Do we need to replace our existing development platform?
No. Speedwave is designed to add a controlled layer around AI-assisted development without requiring teams to move to a new development platform.
Does Speedwave send our code to Speednet servers?
No. Speedwave is an on-workstation tool. Your code and data stay on your machine. API calls go directly from your workstation to Anthropic (or your chosen LLM provider). Speednet servers are not in the data path.
Can we use local LLMs instead of cloud APIs?
Yes. Speedwave supports local LLM backends (Ollama, LM Studio). Recommended for teams that cannot route AI traffic to external services due to network policy or data classification.
Speednet team
See it live

See how controlled AI development works in practice.

We will show Speedwave running on a real developer workstation, not in a marketing sandbox.

You will see:

  • an AI coding agent completing a real engineering task
  • tool and environment access controlled in real time
  • policies applied in practice
  • agent activity and environment state made visible

Bring your Security and Platform Engineering teams. Hard questions welcome.

01 See it Live demo on a developer workstation.
02 Map it Your agents, models, integrations and constraints.
03 Validate it If there is a fit, move to a technical deep dive or focused PoC.
Book a live demo Explore the open-source Core

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