Automate Complex Document Workflows with Vision AI — Built by Elite Teams
We connect you with the top 3% Vision AI experts to automate document analysis and data extraction, delivering a secure, working prototype in just 30 days — fully deployed on your infrastructure for complete control.
Trusted by Startups and Unicorns
Eliminate Manual Processing and Costly Hiring
Managing invoices, contracts, compliance documents, and visual content is complex. Our fractional Vision AI specialists automate document analysis, data extraction, and content moderation workflows with 95% accuracy — without $100K+ hiring costs.
Fully Managed Vision AI Teams
Access Vision AI engineers and data scientists vetted through our proprietary platform that tests expertise in Vision-Language Models (VLMs), OCR pipelines, and communication skills.
Only specialists who excel in deploying VLM-powered workflows join our network, helping you cut headcount costs by up to 70%.
Data Sovereignty and Full Control
Our vetted Vision AI experts design solutions with open-source models to keep your proprietary data private. We deploy solutions on your preferred cloud environment: AWS, Azure, Google Cloud, or on-prem.
We ensure data privacy, sovereignty, and seamless integration with your existing systems.
Vision AI Workflows
Automate One High-Impact Workflow, Validate ROI, Then Scale
Our fractional teams focus on your highest-value workflow first, whether it’s invoice parsing, contract analysis, compliance reporting, or content moderation.
We deliver a production-ready prototype in 30 days, helping you validate ROI fast before scaling Vision AI across your enterprise.
Our Process: From Consultation to Delivery
Your dedicated team starts with a Project Manager, who’ll engage the other talent needed for your success.
Schedule a Discovery Call
Book a quick call with our team to discuss your Vision AI requirements.
Free 1-Hour Consultation
Get a personalized Vision AI implementation strategy tailored to your workflows, infrastructure, and business priorities.
Sprint Planning
We design a custom sprint plan and assemble a vetted fractional Vision AI team based on your exact needs.
Finalize the Contract
Sign a transparent, sprint-based contract with clear timelines, deliverables, and pricing — no hidden costs.
Build & Kickstart
Your dedicated team begins developing AI-powered workflows, with weekly demos and feedback loops to keep you in control.
Integrate & Deploy
We deploy fully operational AI agents, share the codebase, documentation and train your team.
Frequently Asked Questions
Learn more about our platform and our approach to building fractional AI teams.
Which industries can benefit the most from Vision AI solutions, and what specific problems do you solve?
Our Vision AI solutions serve multiple industries with high-impact use cases. Finance and accounting firms use our invoice parsing to automate accounts payable with 95%+ accuracy. Media and content platforms utilize our content moderation to automatically detect and filter non-compliant visual content in real-time. Each solution is custom-built to address your specific operational challenges.
How does the fractional AI team model save costs compared to hiring full-time Vision AI engineers?
Our fractional model cuts headcount costs by up to 70% compared to full-time hiring. Instead of paying $150K-$200K annually for senior Vision AI engineers plus benefits and overhead, you access the same elite talent on-demand for project-based sprints. You avoid recruitment costs (averaging $30K per technical hire), onboarding time, and the risk of hiring mismatches. With transparent sprint-based contracts, you only pay for active development time, not idle periods between projects. This approach is particularly cost-effective for companies needing specialized Vision AI expertise for 3-6 month projects rather than permanent roles.
What makes your Vision AI engineers "elite" and how rigorous is your vetting process?
Our proprietary vetting platform screens for the top 3% of Vision AI talent through hands-on technical assessments with vision language model frameworks. Each engineer must demonstrate proven experience in production deployments, not just theoretical knowledge. We evaluate their expertise in model fine-tuning, pipeline optimization, MLOps practices, and API integration. Our vetting includes portfolio reviews of previous Vision AI projects, technical interviews with domain experts, and practical coding challenges that mirror real client scenarios. Only engineers with demonstrated success in enterprise-grade Vision AI implementations join our network.
How quickly can you deploy a Vision AI solution, and what does the 30-day delivery timeline include?
Our fractional teams deliver MVP-ready Vision AI solutions within 30 days, designed for fast ROI validation. Week 1 focuses on requirements analysis, data assessment, and architecture design. Weeks 2-3 involve model selection, training/fine-tuning, and pipeline development with weekly demos for feedback. Week 4 covers integration, testing, and deployment preparation. The 30-day delivery includes a working prototype, initial model training, basic API integration, and deployment scripts. This rapid timeline is possible because our pre-vetted engineers eliminate the learning curve and immediately apply proven frameworks to your specific use case.