Enterprise-Grade AI Without Compromise: How Datasaur Delivers a Secure, Private LLM

The AI race is on, but many enterprises are stuck on the sidelines not because they lack ambition, but because they can’t afford to risk privacy. The LLM space is experiencing explosive growth. According to recent estimates, LLMs are expected to generate between $2.6 trillion and $4.4 trillion annually, with applications across healthcare, finance, legal, retail, manufacturing, and more. A 2024 survey by Altman Solon shows an enormous jump in generative AI adoption across companies of all sizes worldwide, reflecting widespread interest in deploying multimodal tools across departments. Subsequently, company heads are feeling pressure to adopt LLM technology, but progress for many has been slow due to data security concerns.

Public LLMs like ChatGPT and Claude are powerful, but they’re also black boxes. Your data gets sent to third-party servers with inconsistent transparency and little control. For industries handling sensitive information (such as finance, healthcare, legal, and more) that’s simply not an option.

At Datasaur, we believe enterprises shouldn’t have to choose between innovation and compliance. We enable organizations to adopt the latest LLM technology with confidence, offering end-to-end control over data and infrastructure. Whether you’re experimenting internally or deploying a mission-critical AI assistant, Datasaur has you covered with two enterprise-grade solutions: LLM Labs and Forge.

Why Enterprises Are Stuck on LLM Adoption

For all the excitement around generative AI, enterprise adoption has lagged. Why? Because data privacy, security, and regulatory compliance aren’t optional, they’re essential.

• Data. Sending proprietary or customer data to a third-party API violates internal policies and external laws.
• Laws. Legal and regulatory frameworks like HIPAA, GDPR, or SOC 2 demand clear accountability and data sovereignty.
• Resources. Even for companies eager to build in-house, the talent shortage in machine learning and LLMs slows or halts progress entirely.

Meanwhile, leadership teams are under pressure to "do something with AI,” but without a secure and trustworthy path forward, it’s a non-starter.

Still, industry adoption is accelerating. In the legal sector, nearly 90% of the top 100 UK law firms are implementing or trialing AI tools, a significant jump from 55% in 2023. Financial institutions are also leading the charge: JPMorgan Chase recently rolled out an internal LLM Suite used by 200,000 employees to improve productivity and customer service.

LLM Labs – Your Private, On-Prem AI Playground

LLM Labs is a solution built for the engineers and IT leaders who want full control. It’s a secure sandbox where your team can experiment, contextualize, configure, fine-tune, and deploy LLMs—without your data ever leaving your walls.

With LLM Labs, you can:

• Privately Customize. Run inference, configuration, and fine-tuning workloads with multiple LLMs as you explore the best LMM for your use-case and the best configuration of that model. All of these tasks can be completed on-premise on VPC, bare metal servers, etc.
• Privately Deploy. Deploy state-of-the-art open-source models like Llama, DeepSeek or Mistral entirely on-prem or in your private cloud.
• Remove Risk. Keep all your data within your environment—no external APIs to a major LLM provider, no third-party servers, no surveillance risk.

This is perfect for industries with high data sensitivity: law firms training on case documents, banks automating internal risk reports, or healthcare providers enabling intelligent EHR summarization—without ever crossing compliance boundaries.

Your data, your environment. 

Forge – Your Private LLM Assistant Built for You

Not every team has AI engineers ready to deploy secure infrastructure. That’s why we created Forge: a fully-managed service where Datasaur builds your enterprise-grade chatbot for you. Just as Von Wobeser, a lead law firm in Mexico, achieved with Datasaur: a tailored made chatbot powered by a secure LLM. 

With Forge, you get:

• A fine-tuned LLM trained on your proprietary documents, FAQs, chat logs, or internal wikis
• A private, secure hosting setup built to match your compliance needs
• A contextual chatbot that understands your business—and speaks your language
• A seamless user interface tailored to your workflows, from legal research to HR onboarding

And the best part? We stay hands-on to continuously improve the assistant as your content grows and your needs evolve. Whether you want a customer-facing chatbot or an internal knowledge worker, Forge helps you go from zero to production: securely and quickly.

Why Open Source Wins for Enterprise LLMs

Open-source LLMs offer a level of security and privacy that proprietary models can’t match. Because these models are not tied to commercial APIs, enterprises can deploy them entirely within their own infrastructure—on-premises or in a private cloud—without sending any data externally. This bypasses the need to share sensitive information with third-party providers like OpenAI or Anthropic, ensuring that your data stays fully under your control.
You may be asking: But are they less capable?

Open-source LLMs are no longer just catching up—in some use cases, they're actually leading. In fact, DeepSeek's R1 model recently outperformed leading proprietary models from OpenAI and Meta in several key benchmark evaluations, demonstrating just how competitive the open-source ecosystem has become.

New research published in the JAMA Health Forum adds further weight to this trend. The study found that an open-source LLM performed comparably to GPT-4 in generating differential diagnoses for complex medical cases. This signals a turning point—open-source models are proving themselves in highly specialized, high-stakes domains like healthcare.

The open-source LLM ecosystem has exploded—and it’s built for the enterprise. With models like Llama 3, Mistral, and Falcon outperforming expectations, there’s no longer a need to rely on closed APIs.

By adopting open-source:

• You own your model: No surprise updates, usage restrictions, or lock-ins
• You scale on your terms: Fine-tune, retrain, and deploy however you see fit
• You securely innovate: Now is the time to adopt LLMs within your ecosystem and lead your industry.

The growth potential is massive. The global LLM market was valued at approximately $5.6 billion in 2024, and it’s projected to grow at a CAGR of 36.9% from 2025 to 2030. Enterprises that invest early (especially with a secure and flexible foundation) will be the ones best positioned to lead.

At Datasaur, we’ve designed LLM Labs and Forge to stay compatible with the best open-source models on the market, so you can take advantage of the pace of innovation without sacrificing control.

Bring Secure, Private LLMs to Your Enterprise

Enterprises shouldn’t have to choose between innovation and security.

With Datasaur, you don’t have to.

Whether you're ready to experiment with open-source LLMs behind your firewall or need a fully built, enterprise-ready chatbot—our team is here to help.

Want to learn more or see a demo? Let’s talk.

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