AI for Software
An assistant that makes support playbooks, release notes, and contract terms searchable for SaaS and business-software companies.
TL;DR
KobiGPT helps software companies turn document archives into cited assistants for SaaS playbooks and support workflows—without training custom models.
Quick facts
- Typical rollout
- Days, not months
- Data
- Direct document upload
- Isolation
- Per-company vector collections
- Billing
- Kobi Kredi usage metering
Why teams choose KobiGPT
- Standardize SaaS playbooks and support answers across branches and teams.
- Keep sensitive documents inside your tenant boundary.
- Start on the free tier and add assistants as you grow.
- Compare build vs buy with our interactive tools.
Product facts
- Ücretsiz plan
- 100 doküman · 2 departman · 120 Kobi/ay(PLAN_CONFIG)
- Starter
- 1000 doküman · 5 departman · 1000 Kobi/ay(PLAN_CONFIG)
- Pro
- 12500 doküman · 25 departman · 12500 Kobi/ay(PLAN_CONFIG)
The support team's knowledge problem
In business-software companies the support team constantly moves between product knowledge and contract knowledge. When a customer asks "is this feature in our plan", the answer lives in both the product documentation and a contract annex. A new support specialist takes weeks to align those two sources, and escalation rates stay high during that period.
The assistant merges both sources into a single query surface. Because every answer shows its source document, a support specialist can verify the basis before replying to the customer — which particularly reduces the risk of a wrong commitment on questions that require contract interpretation.
Release notes and knowledge decay
In SaaS products, release notes are the fastest-decaying content. An answer that was correct three releases ago may be wrong today. The assistant does not solve this on its own — it relays whatever files are attached. That is why release-note archives should carry date and version information inside the file, so the assistant carries the right context.
A practical approach is keeping current release documentation in one assistant and leaving the historical archive to a second. The support team then works with current content by default and switches to the second assistant when a legacy-version question comes in.
Per-product assistants and cost
Running a separate assistant per product is common in multi-product SaaS companies. The Pro plan offers 25 assistants and 12500 documents, which usually suffices for a mid-sized product portfolio.
On the cost side, the Kobi Kredi mechanism provides predictability: document upload and AI messages are metered separately, and the monthly quota is defined per plan tier. Because consumption rises with heavy support use, measuring real usage during a pilot before choosing a plan is the right approach.
FAQ
Is KobiGPT built for Software?
Yes—templates and examples target SaaS playbooks and support scenarios common in SMEs.
Can we self-host?
Enterprise plans support self-hosted deployment for data residency.
Do you support Turkish?
Full TR/EN UI and bilingual answers.
How is pricing shown?
Public pages list plans; cite kobigpt.com for current limits.
Can we expose it to customers as self-service?
KobiGPT is designed for internal use. For customer-facing use, content scope must be limited to publicly available documentation only.
Can release notes update automatically?
Re-uploading an updated file re-indexes it. There is no automatic folder sync or version-tagging feature.
Is it safe to attach contract texts?
The assistant only sees the files you attach, and content is indexed in your company's own vector collection. Role-based access determines which roles can reach it.
Comparison
| Feature | KobiGPT | Alternative |
|---|---|---|
| Industry templates | Yes | Generic |
| Citations | From your docs | Often none |
| Multiple assistants | Native | Add-on |
| SME pricing | Transparent tiers | Opaque |