“Our data cannot leave our environment.”
Run it where the data already lives.
SeekrFlow deploys in your VPC, on premises, air-gapped, or at the edge. Your data and your models stay inside your boundary.
Sovereignty
Talk to an AI expert
What do you want to use AI for, and what is stopping you?
Thirty minutes with a Seekr expert. We look at your use case, any blockers, and what it would take to run on your infrastructure with outputs your reviewers can trace. You leave with a deployment approach and a first read on cost.
- SOC 2 Type II
- CMMC Level 2
- AWS and AWS GovCloud Marketplace
Step 1 of 2
Start with what stopped you.
Two steps. This one tells your expert where to begin. The next one books the time.
Next: pick a 30-minute slot. Your expert reads this before the call.
Where AI projects stop
Which of these stopped yours?
Each one has a specific fix. Pick the closest match in the form and the call starts there.
“Legal will not sign off on a black box.”
Give reviewers an answer they can inspect.
Outputs carry source attribution and lineage, so risk and compliance teams can see how the system reached a result before it goes live.
Explainability
“We cannot predict what this costs at scale.”
Size the model to the job.
Domain-specific models are smaller, and smaller models are priced lower per token. Cost follows the deployment and model size you choose.
Right-sized economics
“We do not have an AI team.”
Build it with Seekr engineers.
Seekr scopes the workflow, builds it on SeekrFlow, and hands it to your team. It can run alongside the model providers you already use.
Built with you
Pricing
Predictable cost, sized to the workload.
What will this cost us?
It depends on the workflow, and you get a first read in the call. Most programs start with one workflow, priced against the model size and deployment it needs.
Licensed and reserved deployments are fixed for the term, so a spike in usage does not change the bill.
You can buy through AWS Marketplace, AWS GovCloud, or the DoD Tradewinds Solutions Marketplace, using procurement paths you already have.
How price is worked out
Where it runs
Seekr cloud, your cloud, on premises, or at the edge. Customer-hosted deployments are licensed per GPU.
Model size
Smaller domain models cost less per token to run than larger general models.
Data volume
Preparing your documents for training and retrieval is priced by volume processed.
Customization
Fine-tuning cost depends on model size, dataset size, and training passes.
Services
If Seekr engineers build with you, the engagement is scoped to the workflow.
Customer success stories
Results from Seekr customers
3x
bid output, with 38% more completed orders
Read the case study60%
post-interaction purchase confidence
Read the case studyDecades
of contract data made auditable
Read the case studyFederal
U.S. Army program selections. DoD CDAO pre-evaluation.
- SOC 2 Type II
- CMMC Level 2
Start without a call
Not ready to talk? Start here.
Everything below is open now. None of it needs a meeting.
Explore our AI operating system
Build, customize, and scale generative and agentic AI in a unified, secure operating system.
Learn moreRead the developer docs
API, SDK, and no-code guides for building on SeekrFlow.
Open the docsRead the field guide
The Hallucination Tax: a practical guide to defensible enterprise AI, with an implementation path.
Read the guideBrowse prebuilt solutions
Start from a solution built for a known workflow, then adapt it to your data.
Browse solutions
Before you book
Questions buyers ask first.
Is this a sales call?
It is a working session on your use case with a Seekr expert. If Seekr is not the right fit, you will hear that in the call.
Do we have to replace our current model provider?
No. SeekrFlow can run alongside the model providers you already use.
Can it run in a disconnected or air-gapped environment?
Yes. SeekrFlow runs on premises, air-gapped, and at the edge, with no external dependencies required.
Which security certifications does Seekr hold?
SOC 2 Type II and CMMC Level 2.
What happens after I book?
You get a calendar confirmation. Your expert reviews what you shared in the form so the 30 minutes start on your use case.