Stop piloting AI.
Start deploying it.
We embed forward deployed engineers inside your team to take AI from experiment to production-grade system. Built by engineers who've shipped AI at enterprise scale.
Built on
Trusted by companies in
Every system we build runs in your cloud, belongs to you, and outlasts our engagement. No vendor lock-in. No recurring platform fees. No data leaving your environment.
Partnerships
Accredited by the platforms we deploy on
We hold partner status with the model and cloud providers our clients run in production, which means direct escalation paths, roadmap visibility, and no reseller in between.
What our partnerships mean for your build
Sound familiar?
These are the four failure modes we hear from every company that's tried AI before finding us.
The Pilot Graveyard
Your team built a ChatGPT wrapper. Everyone was impressed in the demo. Six months later it's still a demo — never deployed, never measured, never trusted. Management has quietly written off AI as hype.
Solvren's answer
We don't build pilots. Every engagement ends with a system running in your environment.
See how we solve thisStrategy Without Engineers
A consulting firm billed $300K to produce an AI roadmap. The deck was thorough. Then they handed it to your team and left. No engineers. No implementation. No working system. Just a PowerPoint.
Solvren's answer
We're engineers who've shipped AI in production — not consultants who advise from the sideline.
See how we solve thisCompliance Killed Every Vendor
Your security team reviewed every AI vendor pitch. Every one failed: HIPAA, CMMC, ITAR, SOC 2. Sending your data to an external API is a non-starter. So every POC died in the security review.
Solvren's answer
We deploy in your cloud — AWS, Azure, or GCP. Your data never touches our infrastructure.
See how we solve thisThe Vendor That Disappeared
You hired an AI vendor. They shipped version one, collected payment, and stopped answering Slack. The model degraded. No one monitored it. Your team inherited something they can't maintain.
Solvren's answer
We offer monthly retainers for monitoring, optimization, and iteration. We stay after launch.
See how we solve thisAI that ships to production
Every engagement starts with an audit and ends with a system running in your environment — not a pilot, not a prototype.
AI Readiness Audit
We map your workflows, identify your top 3 AI opportunities, and deliver a clear ROI roadmap — in 2 weeks.
AI Agents & Chatbots
Custom AI agents that handle customer support, sales qualification, internal helpdesks, and complex multi-step workflows.
RAG Pipeline Development
Retrieval-augmented generation systems that let your team query internal documents, contracts, and data with natural language.
Custom LLM Development
Fine-tuned language models trained on your domain data — from dataset preparation to deployment on AWS Bedrock or Azure.
Workflow Automation
AI-powered automation that eliminates repetitive tasks — document processing, data extraction, reporting, and more.
Ongoing AI Support
Monthly retainers for model monitoring, prompt optimization, performance tuning, and adding new capabilities.
From conversation to production in 8 weeks
AI Readiness Audit
We assess your workflows, data, and tech stack. You receive a clear roadmap of your top AI opportunities with ROI projections.
Design & Architecture
Our engineers design the system architecture. We agree on tech stack, integrations, success metrics, and timeline before writing a line of code.
Build & Deploy
We build, test, and deploy your AI system in your environment. Weekly demos, no surprises. Production-ready from day one.
Optimize & Scale
Monthly retainer covers monitoring, improvements, and new features. Your AI gets smarter over time — not stale.
Built for regulated, complex industries
We understand the compliance, security, and precision requirements of high-stakes industries.
Biotech & Life Sciences
Clinical data extraction, drug discovery AI, regulatory document automation, and lab workflow optimization.
Healthcare
HIPAA-compliant AI systems for patient intake, clinical note summarization, prior auth automation, and care coordination.
Defense & Aerospace
Secure, on-premise AI for document intelligence, threat analysis, and mission planning support systems.
Legal
Contract review AI, legal research automation, due diligence pipelines, and matter management systems.
Fintech
Fraud detection, risk modeling, document processing, and AI-powered customer service for financial services.
We've shipped AI at scale.
Now we do it for you.
Most AI firms are consultants who've never deployed a model in production. We're engineers who have — and we built the company around that difference.
Meet the teamBuilt at enterprise scale
Our team has built AI systems for large-scale production operations. We know what production AI actually looks like — not just in demos.
We don't do demos
Every project ends with a deployed system in your environment. Not a Jupyter notebook. Not a prototype. A system your team actually uses.
Enterprise quality, startup price
Our distributed team model delivers Fortune 500-grade AI at a fraction of hiring an internal team — without compromising on quality.
Your data stays yours
We build on your cloud infrastructure — AWS, GCP, or Azure. Your data never leaves your environment. Full compliance from day one.
Forward-deployed in San Diego
Our engineers work on-site with your team, not from a ticket queue. We understand the biotech, defense, and tech ecosystem here, and we show up when things need fixing.
We stay after launch
Most vendors disappear after delivery. We offer ongoing retainers to keep your AI optimized, monitored, and evolving with your business.
Common questions
How long does an AI implementation take?
Most projects run 6–10 weeks from kickoff to production. Our AI Readiness Audit (2 weeks) establishes the roadmap, design takes 1 week, and implementation runs 4–8 weeks depending on complexity.
Do you work with companies that have no AI experience?
Yes — most of our clients are starting their AI journey. Our audit process is specifically designed to identify opportunities and build a realistic plan for where you are today.
What cloud platforms do you work with?
We build on AWS (Bedrock, SageMaker), Azure (OpenAI Service), and GCP (Vertex AI). Your data and systems stay in your cloud environment.
How do you handle data privacy and compliance?
All systems are built in your cloud environment — your data never touches our infrastructure. We have experience with HIPAA, SOC2, and ITAR requirements.
What's the difference between RAG and fine-tuning?
RAG connects an LLM to your documents/data at query time — great for knowledge retrieval. Fine-tuning trains a model on your data — better for specific tone, format, or domain behavior. We help you choose based on your use case.
Do you offer ongoing support after launch?
Yes — we offer monthly retainers covering monitoring, prompt optimization, performance improvements, and new feature development. Scope and pricing depend on the system we are supporting.
Ready to move from
experiment to production?
Book a free 30-minute AI audit. We'll identify your top opportunities and tell you exactly what's possible — no pitch, just value.
No commitment. No sales pitch. Just 30 minutes with an engineer.