Document processing & extraction
Automate invoice processing, contract review, compliance document analysis, and unstructured data extraction using LLMs fine-tuned for your domain.
We build generative AI tools for enterprise — not slide decks about them. CyberForce HQ, our AI-powered hiring platform, is proof we deliver production AI. We bring that same discipline to your copilots, document intelligence, and LLM projects.
01 · Use cases
Practical applications that deliver measurable business value — not proof-of-concepts that never ship.
Automate invoice processing, contract review, compliance document analysis, and unstructured data extraction using LLMs fine-tuned for your domain.
Build AI assistants that answer questions from your internal knowledge base, SOPs, and documentation — without exposing data to public LLMs.
Generate reports, summaries, proposals, and marketing content from structured data and templates. Human review built into every workflow.
Build internal code generation tools, test generators, and developer copilots that understand your codebase and standards.
Deploy AI agents that handle first-tier customer inquiries, route complex cases, and provide 24/7 support — with human escalation built in.
Build AI-powered analytics that surface insights from structured and unstructured data — revenue trends, operational patterns, risk indicators.
02 · How we work
We assess your data, infrastructure, and team readiness. We have done this for our own AI products — including CyberForce HQ — so we know what actually works in production, not just in demos.
We design the AI solution with your team — defining inputs, outputs, guardrails, approval gates, and success metrics.
We build the solution, integrate it with your systems, and validate it against real data with your team before deployment.
We deploy with monitoring, logging, and human oversight. Governance policies and compliance documentation are delivered with the solution.
03 · Common questions
Both, depending on your requirements. For sensitive data, we deploy private models on your infrastructure or use API configurations that prevent data retention. For general use cases, we use governed connections to commercial LLMs.
Every engagement includes governance: data handling policies, model documentation, human oversight design, and compliance documentation. We do not deploy AI without guardrails.
Start with an AI readiness assessment. We assess your data, infrastructure, and team — then deliver a prioritized roadmap with recommended use cases and estimated ROI.
Yes. We integrate with your CRM, ERP, cloud tools, databases, and internal APIs. We build clean integration layers so AI tools work with your real data.
A focused use case — like document processing or an internal copilot — typically takes 6 to 12 weeks. Larger platform initiatives take 3 to 6 months.
Tell us your use case. We’ll assess your data, design the solution, and deliver a build plan — before any commitment.