INIMAINIMA SOLUTION / APPLIED AI PRODUCT STUDIO
We design and engineer AI products around real workflows — so knowledge is traceable, automation stays accountable, and the next action is clear.
See what we buildA model is only one part of the product.
The real work is context, control, evidence, and the people responsible for the outcome.
SELECTED WORK
Selected systems spanning agent operations, evidence-grounded knowledge, on-device learning, edge safety, and digital communities.
A control surface for organizations where people and AI agents work together. Goals become assigned work, approvals stay explicit, and every handoff remains visible.
Tasks · agent roles · approvals · schedules · audit trails · integrations
AI advisory systems that turn fragmented institutional documents into source-linked guidance while keeping policy, access boundaries, and release state explicit.
Document ingestion · retrieval · citations · policy rules · tenant-scoped releases · admin review
A focused handwriting practice app that combines PencilKit interaction with on-device character scoring, immediate feedback, and targeted review.
Daily practice · PencilKit writing · on-device CoreML scoring · weak-point review
An edge-AI architecture and executable metadata harness for detecting risk signals in controlled environments and routing only suspected events to human review.
Event contracts · video/audio metadata · fusion policy · degraded-mode logic · model lifecycle gates
A community product that brings member conversations, profiles, notices, moderation, and curated public content into one operating surface.
Boards · comments · profiles · notices · moderation · external content collection
HOW WE BUILD
We map who makes the decision, what evidence they use, where the process slows down, and which constraints cannot be ignored.
Sources, permissions, approval gates, and audit trails belong in the core workflow — not as features added later.
We separate design, executable validation, implementation, and deployment, then describe only what has been verified in the target environment.
BUILD WITH INIMA
If the problem involves messy knowledge, human approval, model behavior, or operational constraints, let’s turn it into a product people can trust.
inimasolution@gmail.com