Left Right Mind has been working all along at the intersection of design & technology, creative & analytical, and now artificial & human intelligence. Augmented IQ thrives at the intersection of documents & data, intelligence & action, AI capability & enterprise usability.
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Datasets made searchable, discoverable and accessible to scientific community across the world.
science products made searchable across all five SMD divisions.
scientific software, models and tools integrated into discovery.
sources, repositories and archives unified under one metadata layer.
scientific terms understood by the engine, growing over time.
Large volume of documents, data, tools and code spread across five scientific divisions that had evolved as independent knowledge silos. Interdisciplinary research was being slowed not by a shortage of data, but by the inability to navigate it across divergent systems, vocabularies, and metadata standards.
The Science Discovery Engine provides researchers with a unified way to search across science data, documentation, software, tools, publications, and repositories reducing friction caused by siloed systems, inconsistent vocabularies, and uneven metadata standards.
Section 508 / WCAG 2.0 AA compliant; designed, delivered, and maintained to U.S. Federal accessibility standards.

Knowledge that stays in-tenant. Answers that cite their sources. Permissions that match what users already have.
The organization's institutional knowledge - competitive intelligence, vendor data, internal communications, legacy contracts - lived across SharePoint in a mix of modern Office files, legacy 97-format documents, and scanned PDFs. Teams spent days drafting newsletters and global updates from scratch, often paying external writers to do it. Analysts couldn't get reliable answers from financial vendor docs, invoices, and projections.
Augmented IQ deployed inside the organization's own Azure environment, indexing SharePoint and answering natural-language questions with citations back to the source. Features included OCR for Scanned Files, Source-cited answers, RAG Search, SharePoint Indexer, Permission-aware, Content Safety Guardrails (Azure OpenAI content filters) and Audit Trail.


One internal search platform that converges through four global divisions and three time zones.
Employees at a global, regulated, multi-division enterprise couldn't reliably find the colleague with the right skill, the right trial document, or the right policy. There is a need to quickly find experts within the company, assemble teams, and have them work on solving problems.
'Aha!' a cross-platform discovery experience that unifies expertise, trial data, research literature, internal toolkits, documents & policies behind one searchable interface. Started as an expertise finder; expanded to documents, trials, and policies and subsequently extended into adjacent platforms. Left Right Mind led the experience design.

We built TRAQ Audit to turn every flagged record into an assignable, evidenced, audit-trailed task. Deployed across the organization's internal audit function, productized for any team running a data extraction and analysis software or its equivalent.
Thousands of audit exceptions like duplicate vendors, payments outside policy, three-way-match breaks, remediated via email and spreadsheets.

A configurable, mobile-first audit exception workflow - turning ACL output into assigned, evidenced, audit-trailed records that the audit team, business owners, and regulators all trust. One governed lifecycle from raw analytics output to closed and inspectable.
Analytics output is pushed via Objective IDs. Records appear as structured, filterable tables, masked columns where sensitivity demands it.
Auditors assign records with priority, deadline, comments, supporting documents, with specific questionnaires built for the exception type.
Assignees respond to the questionnaire, ask peers for help, attach evidence, and close the record - or mark it invalid, or disown it back.
Admin web portal for central oversight: manages scan, teams, players, and case histories.
Custom-fitted helmets need a 3D model of the player's head - accurate to within a millimeter, because a poor fit is a safety problem. Until now, getting that scan meant getting the player to a facility with specialist hardware. The organization wanted to flip it: send the scanner to the player.
A native mobile application for Android and iOS that guides any user through a structured 360° capture of a player's head, validates the images on-device, and feeds them into a distributed compute pipeline that produces a manufacturing-grade 3D model.
Sub-1mm error tolerance using ArUco marker calibration.
Multi-stage pipeline running across Linux and Mac servers.
Works fully offline; scans sync when connectivity returns.

Across 30+ countries, every regulatory regime, every client-facing function.
AUM managed by the organization globally, now discoverable through one platform.
Subject matter experts across marketing, sales, strategy, and compliance shaped the front-end.
Years of trust and partnership in a highly regulated financial services ecosystem.
More than 200 marketing & sales employees described the major challenge they face is accessing information & insights for clients. Search alone takes 6.6 - 8.5 hours per week, significantly impacting resources.
A universal search interface that lets global & regional marketing, sales, strategy and compliance teams search, filter and update product and research information within their permissions, in their language of work.

We built a Quality Notification System that turns every block, fate decision, and early release into a governed, region-aware workflow - live across EU, AMET, LATAM, NA, and APAC.
market wrong release incidents
users across regions, post global release
adoption pushbacks reported
timezones in active delivery
Quality exceptions around pallets, warehouses, transit stock, and release/fate decisions, managed through email, spreadsheets, offline forms, manual follow-ups.
Thousands of audit exceptions like duplicate vendors, payments outside policy, three-way-match breaks, remediated via email and spreadsheets.
QA Requesters raise a block, populate pallet details, and dispatch to the right warehouse with a 1-hour acknowledgment SLA.
Once blocked, pallets are routed through a structured fate decision: Release, Return, Destroy (with certification), or Rework.
Pallet-level early releases during quarantine, grouped by batch, with WMS evidence captured on completion.
Real estate construction is complex and irreversible - a fault found late carries an outsized cost. TRAQ digitizes high-stakes physical-world inspection workflows at construction-site scale for in-process quality, and for pre-handover snagging.
total inspections in a 3 year window
checklists (from 230 baseline)
total users across 3 sites
average closure time
A large real-estate conglomerate conducted quality checks on paper - across massive build sites. Inspections were incomplete. Errors never reached a central system in time. Leadership had no real-time view of inspection data. Inefficiencies resulted in rework, impacted timelines, led to increase in costs and risk to brand reputation.
A configurable mobile-first inspection platform - that enables multi-stage construction quality checks, configurable checklists, photo evidence, and multi-level approvals. Covers Civil, Finishes, MEP, Infrastructure, EHS and Vendor QA.

A configurable mobile-first inspection platform - that enables multi-stage construction quality checks, configurable checklists, photo evidence, and multi-level approvals behind one governed, auditable workflow. Covers Civil, Finishes, MEP, Infrastructure, EHS and Vendor QA.
Admins configure inspection workflows, checklists, and users centrally, one source of truth for the project portfolio.
Inspectors capture checkpoint responses on mobile, with photos, geo-tags, voice notes and offline drafts when connectivity fails.
Authorizers review, accept or reject with comments. PDF reports auto-generate; dashboards update in real time.
Walk through Ask, Pattern and Act IQ on a real-looking workload. Bring one of your own workflows, we’ll show you what it looks like when it’s bespoke.
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