Forward deployment, in 6 to 8 weeks
Solvren AI is an AI forward deployment company.
What is forward deployment?
Forward deployment means our engineers embed with your team and build the AI system inside your own cloud account, instead of selling you a platform or handing over a slide deck. We scope one production workflow, ship it in 6 to 8 weeks, and leave your team owning the code, the infrastructure, and the runbooks. Because the system runs in your AWS, Azure, or GCP environment, your data never passes through our infrastructure or an unapproved third-party API. That is why forward deployment fits regulated buyers in biotech, healthcare, defense, legal, and fintech: security review happens against infrastructure you already control, and every control we add (scanning gates, spending limits, audit trails) is visible to your own auditors.
How an engagement runs
Four steps, in order. The first call is free. The 6 to 8 week deployment starts once the agreement is signed, and the code stays with your team.
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Step 1 of 4 Free, 30 minutes
1Call
A free 30-minute call with an engineer about one workflow, your data and your security constraints.
What you get
- A straight answer on whether the workflow fits a 6 to 8 week deployment
- The ideas worth validating first
What you own at the end
- Your notes. There is nothing to sign.
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Step 2 of 4 5 days
2Validated ideas demo
Within 5 days we show you working demos of the ideas we validated for your workflow, so you see what the system would do before you commit.
What you get
- Working demos of the validated ideas
- A recommendation on which one to take to production, and its scope
What you own at the end
- A clear basis for the go or no-go decision
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Step 3 of 4 6 to 8 weeks
3Deploy
Once the agreement is signed, one workflow goes to production through one of three fixed-scope offers.
What you get
- One workflow in production, inside your AWS, Azure or GCP account
- Weekly demos, evaluated against the agreed metrics
- Security review, monitoring and runbooks
What you own at the end
- The code and the infrastructure
- Runbooks written for your team
Fixed-scope offers
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Step 4 of 4 Monthly
4Run
A monthly retainer for monitoring, tuning and new features once the workflow is live.
What you get
- Monitoring of the system in production
- Prompt and model tuning
- New features as your needs change
What you own at the end
- Every change, in your own repositories and cloud account
Fixed-scope offers
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6 to 8 weeks
Secure Agent Skills Registry
A private, scanned catalog of agent skills deployed in your cloud, with a CI gate that blocks risky skills before any agent loads them.
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6 to 8 weeks
Controlled Agent Payments
Agents that pay for approved APIs and data through Amazon Bedrock AgentCore Payments, within limits a human sets in advance.
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6 to 8 weeks
Fast Routing Layer
A small, fast decision layer in front of your LLM calls that routes each request to the right model, tool, or agent.
Need something else? Our services cover RAG pipelines, custom LLMs, AI agents, and workflow automation, and every engagement starts with a free 30-minute call.
From kickoff to production in 6 to 8 weeks
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Scope and access
Weeks 1 to 2
We pick one production workflow, agree success metrics, and get access to your cloud account and data under your security team’s rules.
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Build in your cloud
Weeks 3 to 5
Embedded engineers build the system inside your AWS, Azure, or GCP account, with weekly demos and evaluation against the agreed metrics.
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Harden and hand over
Weeks 6 to 8
Security review with your team, monitoring, and runbooks. The system goes to production and your team owns the code and infrastructure.
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Optimize and scale
Ongoing
A monthly retainer covers monitoring, improvements, and new features, so the system keeps improving instead of going stale.
Start with one workflow
Book a free 30-minute AI audit. We look at one workflow with you and tell you whether it can reach production in 6 to 8 weeks. No commitment, just 30 minutes with an engineer.
Book a free AI audit