How does Linkence protect sensitive enterprise data?

Security is built into every layer. Linkence uses end-to-end encryption at rest and in transit. Role-based access controls ensure users only see documents they are authorized to access. Enterprise customers can deploy in their own VPC or on-premise infrastructure.

What AI models can we use with Linkence?

Linkence supports 15+ LLM providers including OpenAI, Anthropic Claude, Google Gemini, Mistral, Cohere, and more. You can also connect to Azure OpenAI, AWS Bedrock, or self-hosted solutions like Ollama. Bring your own API keys and switch models anytime with no vendor lock-in.

Which tools does Linkence integrate with?

Linkence integrates with 50+ popular tools including Gmail, Slack, Notion, Jira, Confluence, Google Drive, Salesforce, HubSpot, Zendesk, GitHub, and more. Custom API connectors are also supported for internal systems.

How long does Linkence implementation take?

Most teams are up and running in under a week. Initial connector setup takes minutes, access control configuration can be done in hours, and rollout to teams happens in days. Enterprise deployments with custom requirements typically take 2-4 weeks.

What authentication methods does Linkence support?

Linkence supports enterprise-grade authentication methods including email/password, passwordless OTP, Google OAuth, Microsoft OAuth, Azure Active Directory, and generic OAuth/OIDC for providers like Okta and Auth0. Just-in-time provisioning auto-creates accounts on first login.

Can Linkence be deployed on-premise or in a VPC?

Yes. Enterprise customers can choose VPC deployment in their cloud account or fully on-premise installation. Linkence supports AWS, GCP, and Azure with flexible deployment models to meet security and compliance requirements.

Blog

Stories from the team building Linkence

Field notes on enterprise AI, retrieval engineering, agent design, security, and the lessons we’re learning while building Linkence for serious teams.

Coming soon

Our blog is almost ready

We’re putting the final touches on the writing, the editing, and the pixels. The first set of stories covering retrieval, agents, and the enterprise stack we’re building drop very soon.

Get an early look Back to home

What you can expect

Engineering

Deep dives into how we build retrieval, indexing, and the agent runtime that powers Linkence.

AI Research

Notes on model selection, evaluation, and the prompt + context patterns that hold up in production.

Security & Trust

How we think about RBAC, audit logs, data residency, and shipping AI that enterprises can actually trust.