Faster information access
Search approved documents, policies and records.
Useful AI should reduce a repeated burden, improve access to information or help someone make a better decision. Codantix designs AI-assisted workflows around clear responsibilities, approved data and human review.
We combine language models, document processing, retrieval, business rules and existing systems to create assistants and automations that support real work. Sensitive or high-impact actions keep clear permissions, fallback behavior and escalation paths.
Search approved documents, policies and records.
Automate extraction, summaries, drafts and routing.
Keep review and escalation around important actions.
Every project is scoped around real users, risk and business value. These are common delivery areas, not a rigid package.
We combine language models, document processing, retrieval, business rules and existing systems to create assistants and automations that support real work. Sensitive or high-impact actions keep clear permissions, fallback behavior and escalation paths.
Meet the people behind CodantixDefine inputs, outputs and a measurable improvement.
Set sources, permissions and review points.
Test against representative material.
Connect the workflow and learn from failures.
Explore client work, in-house products, prototypes and interactive demonstrations across software, mobile, AI and IoT.
Document analysis, SOP assistance and report generation.
Company knowledge and project guidance assistant.
Local content automation and quality checks.
Good project decisions begin with clear ownership, scope, risk and expectations.
Strong candidates include extraction, classification, summaries, internal search, support triage and structured drafts.
Yes, but access, storage and provider choices must match the sensitivity of the data.
No. AI can make mistakes, so constrained sources and human review are important.
Often yes through APIs, databases or controlled exports.
Use connected pages to understand the workflow, compare options and prepare stronger questions before a project begins.