7 Best Claude Alternatives for Enterprise Teams in 2026

As your teams use AI for more sensitive work, choosing the right Claude alternative becomes an important enterprise decision. The right platform gives you more control over your data while improving privacy, security and visibility into how your AI workloads are processed.

• Private AI keeps your prompts and files inside infrastructure your enterprise controls.
• Verifiable inference gives your security team proof of how each AI request was processed.
• Flexible deployment lets you run AI in your VPC or on-premise when required.
• Context compounding helps your AI workspace become more useful as it builds knowledge from your team’s work.

At Fluso, we bring these capabilities into one private agentic workspace. Your teams get open-source models inside confidential computing with zero data retention and isolated environments. Fluso also supports VPC and air-gapped deployment when you need full control over where your enterprise AI runs.

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In August 2025, Anthropic changed its consumer terms for Claude Free, Pro and Max users. If users kept the setting enabled, their chats and coding sessions could be used to train Anthropic’s models. Their data could also be stored for up to five years instead of the earlier 30-day period.

The StrictlyVC newsletter's coverage highlighted the change and noted that users had until September 28 to decide whether their conversations could be used for training. Anthropic excluded its commercial plans from the update.

The concern for your enterprise starts when employees use personal Claude accounts for work. Any internal document or customer information shared through those accounts could fall under consumer terms instead of your company’s own data policies. 

When your teams use AI every day, your data and privacy cannot depend on settings that sit outside your control. Your enterprise needs to know where its data is processed and how long it is stored. You also need clear control over whether that data is used for model training.

That is why looking at Claude alternatives has become more important for your enterprise. The right alternative should give you 100% control over your data and support private infrastructure that keeps sensitive workloads within an environment you control.

What should you look for in a Claude alternative for your enterprise

Below are some of the factors you must consider when looking for Claude alternatives for your enterprise.

Private AI that gives you 100% control over your data and security

Your teams are sharing sensitive company information with AI, so your enterprise needs control over what happens to that data after it is submitted. Private AI keeps prompts, files, and outputs inside an environment you control instead of depending on a provider’s changing policies.

Zero Data Retention ensures your prompts and responses are discarded after processing. You can also run open-source models on your own infrastructure and give each team a private AI workspace with an isolated environment. This gives your enterprise full control over where its data is processed and how it is handled.

Verifiable inference your security team can check

A provider can tell you how your data is handled, but your security team still needs proof of where your prompts were processed. Confidential computing runs inference inside hardware-isolated environments and creates a cryptographic attestation for each session.

This lets your team verify which model ran and which hardware processed the request. You get technical proof during audits instead of depending only on the provider’s policy documents.

Data sovereignty on GDPR-compliant, EU-hosted infrastructure

If your enterprise handles data from EU residents, you need clear control over where that data is processed and stored. The GDPR places rules on international data transfers, while the EU AI Act adds further requirements around AI risk and transparency.

EU-hosted infrastructure helps you keep sensitive AI workloads within the region your compliance team already works under. It also gives you clearer visibility into where your models run and how your data is handled.

Deployment flexibility across cloud, VPC, and on-premises

Your enterprise should be able to choose where its AI runs instead of being tied to one provider’s cloud. A flexible setup lets you use a managed cloud for convenience or move workloads into your own VPC when you need more control.

For highly sensitive use cases, you can also deploy on-premises or in an air-gapped environment. This gives your team more control over infrastructure, security policies, and where your data is processed.

Context compounding that improves the longer your teams use it

As your teams use private AI workspace, it builds context from previous tasks and decisions. It also learns from approved outputs and feedback, which helps the workspace understand how your enterprise works over time.

As that context grows, it becomes an important part of your company’s knowledge. Keeping it within the infrastructure you control lets your teams benefit from context compounding without giving up control over that information.

7 best Claude alternatives for enterprise teams that need data privacy and security in 2026

The table below gives you a quick comparison of some of the top Claude alternatives for your enterprise teams  

Fluso by Prem AI

We built Fluso as a private agentic workspace for enterprise teams that want AI to work across the tools they already use. Fluso connects with your email and chat workflows so your teams can turn scattered conversations into drafts, documents and completed work without moving sensitive data across different AI tools.

Fluso also builds context around your people, projects and decisions through ChronoGraph. This helps your teams keep track of ongoing work and surface open commitments as they work. The workspace runs on open-source models inside confidential computing, while each enterprise gets its own isolated environment.

Why Fluso stands out from other Claude alternatives

• Your work runs only on open-source models inside confidential computing, with zero data retention(ZDR) at the model layer and each session cryptographically attested.
• Fluso drafts Word files, spreadsheets, decks and PDFs from your own context that stay editable after delivery.
• You can deploy Fluso in your own VPC or fully air-gapped on hardware you own when a managed cloud is not an option.
• Your firm's operating procedures and review chains can be built into the workspace so every employee works inside processes you already trust.

Fluso is best for:

Fluso helps your enterprise teams use AI across every workflow while keeping full sovereignty and privacy over your data.

Who Fluso is built by 

Fluso is built by Prem AI, a Switzerland-based AI infrastructure company focused on sovereign AI and confidential computing for enterprises. 

Pricing of Fluso 

Fluso offers custom pricing plans for enterprises. 

Mistral AI

Mistral AI was founded by Arthur Mensch, Guillaume Lample, and Timothée Lacroix in 2023. The company builds its own model family and the infrastructure around it rather than reselling access to models from other providers.

Its enterprise assistant, now called Mistral Vibe, brings work and coding into one product. According to Mistral AI, your teams can connect it to more than 100 tools and deploy it on-premises or inside a private cloud.

Location and founding year

Mistral AI was founded in Paris, France, in 2023.

Mistral AI pricing

Mistral’s Team plan costs $24.99 per user each month before taxes. Enterprise pricing is custom and includes private deployment, custom models, and dedicated support. 

Notable Mistral AI clients

• Airbus
• HSBC
• ASML
• BMW

Aleph Alpha

Aleph Alpha was founded by Jonas Andrulis in 2019, and its current leadership also lists Samuel Weinbach as a co-founder. The company builds specialized AI systems for your enterprises and public institutions, including domain-specific language models shaped around each customer's field.

With its PhariaAI stack, you can manage everyday AI assistance and application development. You can also handle deployment management through the same platform. As per PhariaAI, it supports both open-source and proprietary models, so you are not tied to a single model. 

Location and founding year

Aleph Alpha was founded in Heidelberg, Germany, in 2019.

Aleph Alpha pricing

Aleph Alpha does not publish standard PhariaAI pricing. Enterprise pricing is custom based on your deployment and business requirements, so you need to contact Aleph Alpha for a quote.

Notable Aleph Alpha clients

• Bosch
• Deutsche Bank
• SAP
• German Federal Employment Agency

Langdock

Langdock's co-founders include Lennard Schmidt and Jonas Beisswenger, who started the company in 2023. Your teams can use Claude, Gemini and GPT inside one model-agnostic workspace and build agents without switching between products.

According to Langdock, more than 10,000 companies use the platform. If your enterprise qualifies, you can choose dedicated SaaS or bring-your-own-cloud deployment. You can also run Langdock on-premises for greater infrastructure control. 

Location and founding year

Langdock was founded in Berlin, Germany in 2023.

Langdock pricing

Langdock’s Business plan starts at €25 per user per month before VAT, while Business Max costs €99 per user with higher usage limits. Enterprise pricing is custom for larger deployments.

Notable clients of Langdock

• Merck
• GetYourGuide
• Home24
• Dr. Wolff

LightOn

LightOn was founded by Igor Carron, Laurent Daudet, Florent Krzakala and Sylvain Gigan in 2016. Its Paradigm platform works directly with your proprietary documents and internal knowledge rather than acting as another standalone chatbot.

The company started with AI computing technology before training its own language models. As per LightOn, Paradigm supports on-premises, hybrid and managed SaaS deployments for different infrastructure needs for your enterprise.

Location and founding year

LightOn was founded in Paris, France in 2016.

LightOn pricing

LightOn does not publish standard pricing for Paradigm. Pricing is based on user count and the selected offer, so enterprises need to request a quote. 

Notable clients of LightOn

• Safran
• Région Île-de-France
• Babbar
• Orange Business

Dust

Dust was founded by Gabriel Hubert and Stanislas Polu in 2023. The platform lets your teams build AI agents on top of more than 20 models and share those agents across the company.

According to Dust, each agent can use your company knowledge along with tools like Slack, Notion, GitHub and Google Drive. This gives your enterprise a shared agent layer instead of another chat app tied to a single model. 

Location and founding year

Dust was founded in Paris, France in 2023.

Dust pricing

Dust’s Pro seat costs €30 per month or €24 with annual billing. Max costs €150 per month or €120 annually. Enterprise pricing is custom and includes features such as SCIM, audit logs and single-tenant deployment.

Notable clients of Dust

• Clay
• Profound
• Persona
• Doctolib

Omnifact

Omnifact was founded by Patrick Helmig and Florian Reifschneider in 2023. Omnifact Privacy Filter masks sensitive information in your prompts before they are sent to an external model provider.

As per Omnifact, your teams get models from several major providers in one controlled environment and can connect assistants to internal documents through Spaces. The enterprise plan adds self-hosted models and on-premises deployment.

Location and founding year

Omnifact was founded in Frankfurt, Germany in 2023.

Omnifact pricing

Omnifact Pro costs €25 per user per month with annual billing and supports teams of up to 50 users. It includes €5 in shared premium-model credits per user each month.

Notable clients of Omnifact 

• Aareal Bank
• GEWOBA
• S-Kreditpartner
• Ruhrbahn

Fluso: best Claude alternative for enterprise teams handling sensitive data

By now you must be clear about how much data privacy and security shape which AI tools your enterprise can trust with real work. 

We built Fluso to give your teams an AI workspace that handles that work while your data stays inside an environment you can verify. Every request runs on open-source models within confidential computing, and each workspace sits in its own dedicated sandbox.

You also get a workspace that learns how your firm operates. ChronoGraph keeps track of your people, projects and open decisions so Fluso can turn that context into finished drafts and decks. When you need tighter control, Fluso runs inside your VPC or fully air-gapped on your premises.

If your enterprise needs a Claude alternative that gives you full control over your data and where it lives, Fluso is built for that kind of work. Bring your enterprise knowledge into one private AI workspace, download Fluso and get started today.

FAQs about the best Claude alternatives for enterprise teams in 2026

Why should enterprises consider alternatives to Claude?

Your enterprise may need more control over where data is processed, how long it is retained and which infrastructure runs your AI workloads. Claude alternatives can give you more flexibility through private cloud, VPC or on-premises deployment while reducing dependence on one provider’s policies.

What should you look for in a Claude alternative?

You should look at data privacy, deployment options, model choice and security controls before selecting a Claude alternative. Features such as zero data retention, confidential computing, isolated workspaces and EU-hosted infrastructure become especially important when your teams work with sensitive company or customer information.

Are there private AI alternatives to Claude?

Yes. Private AI platforms let your teams use AI while keeping prompts, files and outputs inside infrastructure your enterprise controls. Some platforms also support zero data retention, confidential computing and dedicated environments, which help you reduce exposure to third-party infrastructure and keep sensitive workloads more private.

Can Claude alternatives run inside a VPC or on-premises?

Some Claude alternatives support deployment inside your own VPC, private cloud or on-premises infrastructure. This gives your enterprise more control over where models run and where data is processed. It also makes these platforms better suited for regulated industries or highly sensitive internal workloads.

Are open-source models a good alternative to Claude for enterprises?

Open-source models can be a strong option when your enterprise wants more control over deployment and model choice. You can run supported models on infrastructure you control and switch between models based on workload. This reduces dependence on a single closed provider and gives your teams more flexibility.

How do Claude alternatives help with data privacy and security?

Privacy-focused Claude alternatives can keep your data inside isolated environments and prevent prompts from being stored after processing. Some also use confidential computing to protect data during inference. These controls give your security team more visibility into how AI workloads are processed and where sensitive information goes.

How is Fluso different from Claude for enterprise teams?

Fluso is built for enterprise teams that want AI across their workflows while keeping control over data privacy and sovereignty. It combines a private agentic workspace with open-source models, confidential computing and isolated environments so your teams can work with sensitive information inside infrastructure designed for enterprise control.