SOFTech is developing and testing its own software in integration, data engineering, AI-assisted automation, and applied R&D.
Commercial services and paid pilots are not currently offered. Federal research proposal discussions remain welcome.
Connect the applications and information a workflow depends on, with interfaces that are understandable and maintainable.
Plan and build the data foundations needed to move information between systems and support useful analysis.
Evaluate where AI can assist an existing process, with defined limits, traceable outputs, and human review.
Turn a technical question into a bounded prototype and an evidence-based decision about what to develop next.
Choose a workflow, use permitted test data, and document the acceptance criteria.
Build and test a bounded prototype, keeping assumptions and review points visible.
Assess the result against the criteria and document failures, limitations, and further testing needs.
These areas describe our technical focus, not services ready for purchase. SOFTech is testing its own software and has not yet performed customer engagements.
See what we are testing, using a fictional example and clearly stated limits.
Explore the prototypeExplore an illustrative technical question and the evidence needed to evaluate it.
Read the research exampleDiscuss a public research question or proposal requirement without sharing sensitive information.
Discuss a research proposalInterested in our own development work? Explore the Matrix prototype or see a contextual parity example.