Quadrant

Quadrant provides privacy first, global mobile location and POI data that help enterprises understand how people and places interact.

[Quadrant @exploreQuadrant]

Apple’s App Tracking Transparency restricted access to IDFA without user permission, making audience targeting and campaign measurement harder. How can advertisers adapt? #LocationData #Privacy

https://t.co/oxY9pBXKjz

[Appen Research @AppenResearch]

@AppenResearch is featured on AI Circle @joinaicircle’s Multilinguality Map, highlighting teams working across multilingual data, speech, evaluation and low-resource languages.

As models expand globally, dialects, code-switching and cultural context matter more than ever.

Map: https://t.co/fPcxNaZ1p9

[Quadrant @exploreQuadrant]

Give your POI the glow up they deserve! ✨

Ask us about our POI Enrichment and Validation services. FYI world's top three fintech companies have recently refreshed their POI databases with Quadrant. Let's do yours next. #PointOfInterest #LocationData

[Quadrant @exploreQuadrant]

Can #LocationData help improve Air Quality?

Asian Development Bank (ADB) leverages data from Quadrant to model traffic and emissions in Southeast Asian cities, with the aim of helping policymakers better understand the impact of their transport policies.

https://t.co/IUBNTQSU9x

[Appen Research @AppenResearch]

Really interesting work from @GoogleDeepMind + @MIT

More agents can help but only when the task actually benefits from it. On sequential tasks, all that coordination can end up hurting performance.

This is especially relevant to the work we’re doing at @AppenResearch around agent evals. It’s not enough to ask whether an agent succeeded. We need to understand how the setup, tools and coordination between agents affected the result.

[Appen Research @AppenResearch]

New @AppenResearch benchmark: MedTerm-90.

7 speech-to-text systems 1,413 real physician dictations 90.5 hours 14 specialties 30,017 clinician-validated entities

We evaluate clinical entity recall rather than WER and manually adjudicate near-miss transcriptions.

Top-line recall:

@ElevenLabs Scribe v2 - 83.35%
@OpenAI gpt-transcribe - 81.79%
@MicrosoftAI MAI-Transcribe 2 - 81.31%
@GeminiApp Gemini 3.5 Transcribe - 80.65%

One result worth examining: on 28% of recordings, no model reached 85% clinical entity recall. We also classified 6,425 near-miss outputs by clinical consequence: 191 were rated potentially fatal and 1,027 serious.

Full benchmark, methodology, and error analysis in the comments.

@Meta
@amazon
@xai

[Appen Research @AppenResearch]

New benchmark: MedTerm-90.

We tested 7 speech-to-text systems on 90.5 hours of real physician dictation across 14 specialties, using clinical entity recall instead of WER.

One finding: on 28% of recordings, no model reached 85% recall.

Full benchmark and methodology in the comments.

[Appen Research @AppenResearch]

📊 2,400+ expert hours. 12 weeks. Two parallel fine-tuning tracks.

That’s the human preference layer Appen delivered for PANDA Plus - Cohere’s fine-tuning program for its enterprise LLM, Command.

Domain-qualified contributors with hands-on LLM experience compared live Command responses, selected the stronger completion, and improved it against Command’s principles and user instructions.

Vetted for expertise and LLM experience, NOT throughput.

See the full case study - link in the comments ↓

[Appen Research @AppenResearch]

Heading to @WeAreDevs in San José this week?

Appen’s Jeanine Sinanan-Singh, Director of GenAI Research, and Alexi Schwartzkopff, Senior Strategic Account Executive, will be there.

Building or evaluating AI? Come say hello and talk training data, evals, benchmarks, and more.

[Quadrant @exploreQuadrant]

Here's how researchers are using Quadrant's location data to map public transit demand, identify busy routes and underserved areas, and understand how mobility changes during disruptions in India's Chennai.

https://t.co/251J7o0KQn

[Quadrant @exploreQuadrant]

How Location Data Helps Cities Tackle Air Pollution!

Quadrant’s anonymized mobile location data helps cities identify travel patterns, build origin destination matrices, and assess the potential impact of low emission zones and vehicle restrictions.

https://t.co/9iPpJO24Rj

[Quadrant @exploreQuadrant]

Climate change is reshaping how people move! This case study explores how mobile GPS location data can track evacuation patterns, measure displacement, identify refuge locations, and reveal how socioeconomic differences influence mobility during floods. https://t.co/amZIl29WnQ

[Quadrant @exploreQuadrant]

DROP Compliance ✅

Our engineering team built and deployed our own DROP compliance solution, integrating with the DROP portal to handle delete and opt out requests at scale.

Meet with our team to discuss https://t.co/EMLKLHgbRC

[Quadrant @exploreQuadrant]

Location data is helping map internal migration across Thailand, revealing how earning opportunities, sectoral differences, education, and digital connectivity influence migration patterns and shape the country’s economic transformation.

https://t.co/YthcepjRi7

[Quadrant @exploreQuadrant]

What’s shaping the location intelligence industry right now?

Our August newsletter covers AI readiness in geospatial, growing demand for geospatial data, and how #MobilityData is driving smarter decisions across retail, restaurants, and major events.

https://t.co/J2ZnihhEJ6

[Quadrant @exploreQuadrant]

What if you could answer your business’s location questions without buying another SaaS platform?

BizziRex uses Quadrant’s #MobilityData to turn movement into actionable insights on foot traffic, catchments, dwell time, visitor behavior & more.

https://t.co/LkdRaEkYBt

[Quadrant @exploreQuadrant]

Location data is helping Brisbane prepare for the 2032 Olympics. 🏟️

BizziRex used mobility data to uncover how fans travelled to Brisbane’s NRL Magic Round, offering insights into how the city can prepare for events on a much bigger scale.

https://t.co/F9pAmwJata

[Quadrant @exploreQuadrant]

Where do the skiers go at night? ⛷️

Learn how Quadrant and Place Intelligence helped Helly Hansen track where outdoor enthusiasts actually go across 12,500+ places, helping identify where the next retail opportunity might be hiding.

Read the case study.

https://t.co/QNNk8W7qa2

[Quadrant @exploreQuadrant]

👣 Make every step count! Download our high-quality, free data sample to understand where and when your customers visit, and tailor your approach to meet their needs.

https://t.co/jQ2hBMzmua

#locationdata #mobilelocation #geospatialdata

[Quadrant @exploreQuadrant]

📍 Navigating the location data landscape for your business? Discover how to tackle challenges, choose the right data types, and find the perfect partner for maximum business impact: https://t.co/HbaXTv9e7s
#LocationData #BusinessStrategy #GeospatialIntelligence