Q1
Is our data used to train AI models?
No. We use providers and settings that do not train on your data, and can deploy inside your own cloud when required.
Private AI & RAG systems
Your company knowledge, answerable in seconds and kept private.
We design AI systems that search your documents, databases, and tools, answer with citations, respect who can see what, and keep your data under your control.
RAG developmentprivate AIAI architectureenterprise AI searchcustom GPT for business
Documents
Drives
Wikis
Databases
Permissions
Citations
Hybrid search
Your cloud
Private AI & RAGWhere projects usually stall
The problems we are hired to fix
- Staff waste hours hunting for answers across tools
- Public AI tools are a data-leak risk
- Basic RAG demos return wrong or outdated answers
- AI costs grow with no visibility or control
Who it is for
A good fit if you are one of these
- Companies whose knowledge is buried in docs, drives, and inboxes
- Regulated teams that cannot paste data into public chat tools
- Products adding AI search or copilots for their users
Execution blueprint
What you get, and how we build it
What you get
- AI architecture: model choice, retrieval design, and cost plan
- Ingestion pipelines for docs, drives, wikis, and databases
- Hybrid search with re-ranking and source citations
- Permission-aware answers mapped to your user roles
- Evaluation sets to measure accuracy over time
- Private deployment in your cloud when required
How we build it
Step 1
Assess
We audit your data sources, access rules, and the questions that matter.
Step 2
Architect
Retrieval, models, and security design with a clear cost estimate.
Step 3
Build and evaluate
Pipelines and answers measured against a real question set.
Step 4
Deploy
Rolled out to your team or product, with monitoring for quality and cost.
Packages
Two clear starting points, one fixed-price proposal
Prices are starting points in USD. After the project call you receive a fixed price for your exact scope.
Starter
from $900
2–3 weeks · A private knowledge assistant over your documents.
- Up to 2 data sources
- Chat with source citations
- Team sign-in
- Evaluation on 50 real questions
- 30 days of fixes
Standard
Most chosenfrom $3,000
4–6 weeks · A permission-aware AI platform across the company.
- Unlimited data sources with scheduled sync
- Role-based access to answers
- Hybrid search and re-ranking
- API for use inside your products
- Quality and cost dashboards
- Private cloud deployment option
After launch, keep it improving with a care plan from $150/month. See care plans
FAQs
Answers before the first call
Q2
What is RAG?
Retrieval-augmented generation finds the most relevant parts of your data first and then has the model answer from them, which cuts down made-up answers and lets every answer cite its source.
Q3
Can it respect who is allowed to see what?
Yes. We map your user roles to data access, so people only get answers from sources they are allowed to see.
Ready to start your private ai & rag project? Book a free project call.
Tell us what you want built. We reply within 24 hours and send a fixed-scope proposal within 3 business days of the call.
- Reply within 24 hours
- Free 30-minute project call
- Fixed-scope proposal
- You own 100% of the code