Zeer Inria / intent / inria

Inria

1001-5000 employees·Le Chesnay Cedex, France·inria.fr

Observed, not inferred · updated weekly

Buying intent

57 tracked signals | Top 15 topics are below | Engineering is carrying most of it.

39signals · 30 days
33topics tracked
7.14%attributed to a team

Attention by team

LinkedIn activity, by team

Where Inria's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Artificial Intelligence
Machine Learning
Generative AI
Open Source
Professional Development
Conference
Engineering
Low100% of team Engineering to Artificial Intelligence: Low, 100% of this team's signals
Engineering to Machine Learning: no signal
Engineering to Generative AI: no signal
Engineering to Open Source: no signal
Engineering to Professional Development: no signal
Engineering to Conference: no signal
Others
High46% of team Others to Artificial Intelligence: High, 46% of this team's signals
Medium15% of team Others to Machine Learning: Medium, 15% of this team's signals
Low12% of team Others to Generative AI: Low, 12% of this team's signals
Low12% of team Others to Open Source: Low, 12% of this team's signals
Low8% of team Others to Professional Development: Low, 8% of this team's signals
Low8% of team Others to Conference: Low, 8% of this team's signals
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Artificial Intelligence
LinkedIn
High volume
96%
last
3d ago
Machine Learning
LinkedIn
Low volume
96%
last
4d ago
Generative AI
LinkedIn
Low volume
97%
last
4d ago
Open Source
LinkedIn
Low volume
98%
last
10d ago
Professional Development
LinkedIn
Low volume
98%
last
30d ago
Conference
LinkedIn
Low volume
94%
last
9d ago
Hiring
LinkedIn
Low volume
95%
last
11d ago
Cloud Infrastructure
LinkedIn
Low volume
97%
last
10d ago
Retrieval-Augmented Generation (RAG)
LinkedIn
Low volume
98%
last
11d ago
LinkedIn
LinkedIn
Low volume
92%
last
16d ago
Microsoft (MSFT)
LinkedIn
Low volume
98%
last
17d ago
Reinforcement Learning
LinkedIn
Low volume
98%
last
25d ago
Cloud Computing
LinkedIn
Low volume
98%
last
28d ago
Computer Vision
LinkedIn
Low volume
98%
last
4d ago
Medical Imaging
LinkedIn
Low volume
96%
last
4d ago

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Who's active at Inria

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Others18 active
researching Artificial Intelligence
in
researching Artificial Intelligence
in
researching Machine Learning
in
researching Artificial Intelligence
in
researching Machine Learning
in
Executiveresearching Microsoft 365
in
Leadershipresearching Formal verification
in
researching Generative AI
in
researching Artificial Intelligence
in
PHD
researching Sales Intelligence
in
MSCA European Funded Project
researching Professional Development
in
Senior Researcher, Scientific Director of Inria Program PIQ, member of Inria evaluation committee
Directorresearching Conference
in
Computer Vision Researcher (In relation to PhD)
researching Generative Models
in
Inria Starting Faculty Position
researching Quantum Computing
in
Researcher
researching 3D Printing
in
PHD Candidate
researching Conferences
in
Directeur scientifique du LaborIA
researching Artificial Intelligence
in
+ 8 more in Others
Engineering3 active
SecDevOps Researcher
researching Artificial Intelligence
in
PhD in Machine Learning on Networks
researching Artificial Intelligence
in
Lead Research Engineer
Senior ICresearching Cloud Infrastructure
in
+ 3 more in Engineering
HR1 active
Human Resources Generalist
researching Hiring
in
+ 1 more in HR

See everyone, not just the first 10

22 people across every department at Inria, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

World-leading research and technological innovation are an integral part of its DNA. Inria's 3,500 researchers and engineers put their passion for digital technology to work in nearly 200 project teams, most of which are joint teams with our academic partners, including major research universities and the CNRS. They explore new fields, often in collaboration with different disciplines and industri

New capability sought

Employee posts (LinkedIn)

Hiring

Top accounts researching Inria

names withheld on the public page

These are companies whose own people brought up Inria unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

129,094 companies · 649,540 people are researching Artificial Intelligence

Inria's own team shows 14 signals on this topic. No one outside Inria has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Machine Learning7,425 cos · 35,104 people
  • Generative AI17,748 cos · 70,837 people
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Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

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Company-size breakdown and buyer seniority mix for accounts researching Inria.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 2 people; HR / Talent — 1 person; Data / Analytics — 1 person; Leadership — 1 person

What's been said

public posts mentioning Inria

Up to 9 public excerpts naming Inria from the past 365 days, across LinkedIn, Reddit, X, YouTube and other public sources.

LinkedIn

It was a pleasure to host Prof. Eric Granger from École de technologie supérieure (ÉTS) in the #STARS team at Centre Inria d'Université Côte d'Azur ! We had the opportunity to attend an insightful talk on " Multimodal Affective Computing in Videos for Personalized Digital Health". The presentation explored how multimodal AI models—leveraging facial, vocal, textual, and physiological signals—can advance affect recognition for applications in digital health, including stress, pain, depression, empathy, and fatigue analysis. The talk also highlighted exciting research directions in multimodal fusion, weakly supervised learning, and domain adaptation for personalized video understanding systems. Thank you for sharing your expertise and for the stimulating discussions throughout the visit. We look forward to future exchanges and collaborations! #ComputerVision #AffectiveComputing #DigitalHealth #MultimodalAI #VideoUnderstanding #MachineLearning #AI #Research #Collaboration

May 2026
LinkedIn

What would you do with a swarm of 1,000 robots? That's the question asked within the Inria AIO team a few years ago, at the beginning of the OpenSwarm_eu project. In October 2024, I joined the ongoing project as a research engineer and gladly accepted the challenge to drive the DotBots Testbed to deployment. The goal was incredibly exciting: to build an ultra-large scale platform for research and experimentation in swarm robotics, featuring low-power, individually controllable, safely recoverable, and location-aware affordable robots that fit in the palm of your hand. The result of this multi-partner effort is a platform combining innovation on multiple fronts: - energy: each robot charges in less than 1 minute, for up to 3 hours of autonomy using a battery-free design - communication: low-latency individual control for hundreds of moving robots in a "mini 5G"-like architecture over a BLE radio with a custom link layer - localization: a lighthouse-based onboard algorithm computes mm-level positioning at 10+ Hz, up to 100x cheaper than traditional vision-based mocap systems - reprogrammability: a hardware-protected bootloader ensures that remote programming robots is safe even in the presence of faulty firmware It was a pleasure to coordinate with partners Inria , KU Leuven , and Analog Devices to bring the testbed (hardware and software) from PoC to deployment and to scale from 10 units up to 725 connected DotBots. Huge thanks to the incredibly talented OpenSwarm team: Alexandre Abadie , Said Alvarado-Marin , Martina Balbi , Lowie D. , Yinghao Gao , Roderich Gross , Mengyao Liu, Filip Maksimovic, Amy McMahon , Genki Miyauchi , Kate ORiordan , William Pereira , Luiz Sampaio , Yuxuan SONG , Mohamed S. Talamali, Tom Van Eyck , Mališa Vučinić , Thomas Watteyne , Fan Yang So... what would you do with a swarm of 1,000 robots? #IoT #SwarmRobotics #EmbeddedSystems #Robotics #Inria

May 2026
LinkedIn

We will give with Cyprien Plateau-Holleville a course on Fluid Simulation with Optimal Transport: New and Old at: - Eurographics 2026 (May 4-8, Aachen) https://eg2026.github.io/ - SIGGRAPH 2026 (July 19-23, Los-Angeles) https://lnkd.in/ehg6Pkgy Featuring: - A gentle introduction to Optimal Transport - How to create your own Optimal Transport at home: a hands-on experience - Numerical schemes based on Optimal Transport for fluid simulation Looking forward to see you there ! Eurographics Conference ACM SIGGRAPH Centre Inria de Saclay

Apr 2026
LinkedInSoftware Development

⚠️ We are hiring! ⚠️ Interested in software development and research in quantum technologies to foster the implementation of new protocols and algorithms? Eager to grow in a dynamic and diverse environment and keep on learning? Join us in QAT - INRIA and Centre Inria de Paris . Apply here (CV + cover letter): https://lnkd.in/egMch9Tn

Apr 2026
LinkedIn

Delighted to have participated in the first Quantum Defense Forum at École Polytechnique organized by Agence de l'innovation de défense . Fruitfull discussions on the challenges of #quantumcomputing and #quantumtechnologies for our armed forces. Inria Centre Inria de Saclay Université Paris-Saclay HQI France

Apr 2026

About this data. Inria (inria.fr). Department attribution is 7.14%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries