Cloud
- Where your data goes
- To the provider you choose: AWS, Google Cloud or Azure.
- Good for
- Fastest to start, and the largest models. Fine for documents that may leave your premises.
- Limit
- Your data is processed on someone else's servers.
How a project runs
Review, pilot, then roll out. You see a result before you commit to more.
How a project runs
Step 1
Review
We sit with your team, see where the repeat work is, and tell you which job to try first.
Step 2
Pilot
We build that one job and run it in your environment. You compare it with how you do it today.
Step 3
Roll out
If the pilot works, we extend it to more teams, connect your other systems and train your people.
Where the job runs
The same job can run in three places. We pick with you, based on where your data is allowed to go.
Cloud
leaves your premises: yes
Your data
AI model
AWS, Google Cloud or Azure
Result
Data goes to the cloud provider you choose.
Your own server
leaves your premises: no
Your data
AI model
Llama or Mistral on your server
Result
Data stays on hardware you own.
Fully offline
leaves your premises: no
Your data
AI model
On a machine with no internet
Result
No network connection at all.
Your own server
- Where your data goes
- Stays on a server you own, in your office or a data centre you choose.
- Good for
- Customer and financial records that must not leave your control.
- Limit
- You look after the hardware, and the models are smaller than the largest cloud ones.
Fully offline
- Where your data goes
- Never leaves a machine that has no internet connection.
- Good for
- The most sensitive documents.
- Limit
- Updates are manual and big jobs run slower.
Which job takes most of your team's time?
Message us or send the form. We reply within 1 business day, with where AI could help and what a first pilot would involve.
WhatsApp +91 97552 81414