Skip to main content Skip to docs navigation
Benchmark IT Solutions
Back to all case studies

Case studyBits LLM & BitsIDE: Private On Premise AI Stack

Bits LLM and BitsIDE, Benchmark's fully local, offline AI stack, giving every developer secure AI-assisted coding without client code ever leaving the building.

Industry
Software Services / IT Engineering
Headquarters
—
Let's discuss your project Jump to outcome
Bits LLM & BitsIDE: Private On Premise AI Stack
100%
AI inference running on-device
Key Metrics Measured after
rollout
0%
Less Recurring AI Subscription and API Spend
0%
AI Inference Running On-Device
0%
Improved Developer Productivity
Background

A software engineering company replacing risky, per-seat cloud AI tools with a fully offline AI stack.

A mid-sized software engineering company builds and maintains products for clients in banking, pharma, and legal services.

The company wanted to provide developers with secure AI-assisted coding and productivity tools while ensuring client code and sensitive project data remained within its own infrastructure, eliminating external data exposure and supporting teams working in restricted environments.

The company delivers software services under contracts that often prohibit sharing source code with third parties, including AI providers.

Some engagements run inside isolated environments with no internet access.

Developers had started using personal AI accounts in inconsistent and sometimes risky ways, and the company had no approved, branded internal AI tooling it could offer instead.

It needed a compliant alternative that worked offline, cost nothing per seat, and felt as good as the popular cloud tools.

Background
Software Services / IT Engineering
—
Challenges faced & defined solution

5 real bottlenecks. 6 matching fixes.

Every operational bottleneck reported was matched to the workstream(s) that resolved it.

The challenge

IP Risk with Cloud AI

Sending sensitive client code and data to external AI services created legal and contractual exposure.

Defined solution

Bits LLM Local Model Server

Ollama and Open WebUI run Qwen and other open models locally through Docker, giving every developer a ChatGPT style chat in the browser.

Works Like Popular Cloud Editors, Fully Offline

The experience matches modern AI coding tools, but every inference runs on the developer's own machine.

The challenge

Rising Subscription Costs

Per seat AI tools and API usage produced a growing monthly bill across hundreds of developers.

Defined solution

Bits LLM Local Model Server

Ollama and Open WebUI run Qwen and other open models locally through Docker, giving every developer a ChatGPT style chat in the browser.

The challenge

No Offline Access

Teams on restricted or air gapped client networks could not use cloud AI at all.

Defined solution

Works Like Popular Cloud Editors, Fully Offline

The experience matches modern AI coding tools, but every inference runs on the developer's own machine.

The challenge

Third Party Dependence

Model availability, rate limits, and pricing changes were all outside the company's control.

Defined solution

Bits LLM Local Model Server

Ollama and Open WebUI run Qwen and other open models locally through Docker, giving every developer a ChatGPT style chat in the browser.

Per Conversation Model Switching

Developers pick the right model for each task, from fast small models to stronger coding models.

The challenge

No Standard Internal Tooling

Developers used a mix of personal accounts and unapproved tools, with no consistent, company branded option.

Defined solution

BitsIDE Browser Based AI Editor

VS Code in the browser with the Continue assistant wired to local models, covering AI chat, inline edit, autocomplete, and codebase aware retrieval.

Company Branded Experience

Both tools carry the company's theme and logo, giving teams one consistent, approved AI toolkit.

The Impacts

Real, measurable improvements in cost, security and AI adoption across restricted environments.

Zero Data Exposure

All AI usage moved on device, removing the risk of client code reaching external services.

Predictable Cost

The company replaced per seat subscriptions and API bills with free open models running on existing hardware.

AI Everywhere, Even Offline

Developers on restricted networks got the same AI assistance as everyone else.

Independence from Vendors

No rate limits, no pricing surprises, and no dependence on any single AI provider.

Higher, Consistent Adoption

A single approved toolkit replaced scattered personal accounts and unapproved tools.

AI Reached Previously Offline Teams

AI coverage reached teams on offline and restricted networks that previously had no AI access at all.

Simpler Compliance Conversations

Compliance and client audit conversations became simpler, as the company could show that no third party AI processed client code.

Ready to take your business on the
path of success?

Let’s collaborate