Ship AI features without adding a sub-processor.
Your customers already audit you. Linkt deploys AI inside your own infrastructure, so it lands within the SOC 2 boundary you already evidence instead of becoming a vendor you have to disclose.
The AI vendor you add becomes a question on every deal.
For a SaaS company the compliance problem runs the other way. You are the one being audited, and a multi-tenant AI vendor lands in the middle of the answer.
No new sub-processor to disclose
Multi-tenant AI vendors become disclosed sub-processors, which triggers customer notice rights and DPA amendments. Deployed in your environment, there is nothing new to add to the list.
Inside the SOC 2 boundary you already hold
AI that touches customer data falls inside your audit scope. Running it on your own infrastructure keeps it inside controls you already evidence, rather than opening a new one.
One less answer on the questionnaire
Every SIG, CAIQ, and bespoke security questionnaire asks who else processes the data. Sovereign deployment keeps that answer short.
- SOC 2 Type II
- ISO 27001
- GDPR and DPAs
- CCPA
- Sub-processor disclosure
- SIG / CAIQ
Where Linkt goes to work in SaaS.
The work that scales with customer count rather than headcount.
Security questionnaires and RFPs
Answer SIG, CAIQ, and bespoke questionnaires from your own evidence library, each answer traced to the control or policy behind it, so a deal is not held up by a spreadsheet.
Support resolution
Resolve tickets end to end grounded in your product and docs inside Zendesk or Intercom, with humans on the cases that need judgment.
AI features in your product
Ship the features your roadmap needs on infrastructure you own, so a customer's review of your product does not become a review of someone else's.
Go-to-market research
Account research, outreach drafts, and CRM hygiene across Salesforce or HubSpot, so reps spend their hours in conversations.
Onboarding and implementation
Turn implementation knowledge into guided onboarding that does not depend on the one solutions engineer who remembers.
Churn and expansion signals
Read product usage and support history together to surface the accounts worth a call this week.
In your cloud, in your audit scope.
Your customers' data never moves
Inference runs inside your VPC. Customer data does not transit a vendor, which is the sentence your own security team needs to write.
Live in weeks
Forward-deployed into your stack, from Snowflake to Salesforce to your product code.
Nothing trains an outside model
Contractual and architectural, so it survives the diligence your enterprise customers run on you.
Straight answers for your reviewers.
- Do we have to disclose Linkt as a sub-processor?
- If the deployment runs inside your infrastructure and customer data never reaches ours, there is no new processing party to disclose. Your counsel should confirm against your own DPA language, and we give them the architecture to review rather than a marketing claim.
- Does this land inside our SOC 2 scope?
- Yes, and that is the intent. The workloads run within the boundary you already evidence, using your identity provider, your logging, and your retention rules, so your auditor is looking at controls they have already tested.
- Can we ship what you build as a product feature?
- Yes. What we build is yours, running on your infrastructure, and you can put it in front of customers under your own name. That is the difference between owning an asset and reselling a dependency.
Ship the feature without inheriting a vendor.
We get AI workflows through compliance, legal, and security and into production.