Find frontier research talent beyond conventional search.
ForesIQ (pronounced “fore-seek”) is an unparalleled Research Talent Intelligence platform that brings scattered academic and career information into one searchable, structured database for discovering and evaluating frontier research talent, powered by a proprietary scoring system.
Coverage
A specialist research landscape, ready to explore.
- 185,000+
- identity-checked researchers
- five
- research areas
- more than a decade
- of research activity covered
- hundreds of thousands
- field-relative scoring evaluations
- Computer Vision
- Machine Learning
- Natural Language Processing
- AI Systems & Infrastructure
- Robotics
Where does your search get stuck?
“We know the expertise we need. Where do we even begin looking for it?”
“The brief is so niche that only a handful of people could take it on. We can’t find any of them.”
“Our usual sourcing platforms don’t surface the people who actually do this work.”
“Keyword searches return job titles. We need the people who have actually worked on the problem.”
“We’ve worked through every network we have. The people we need aren’t in any of them.”
“The evidence is spread across publications, lab pages and career histories. None of it sits in one place.”
“How do we tell who is genuinely advancing the field from who just looks right on paper?”
“By the time a researcher is easy to find, every other team has already found them.”
“Every search brings us back to the same people.”
The people advancing a field rarely announce themselves.
Their work lives in papers, labs and years of collaboration, well beyond what a conventional search returns. The people you most need are often the hardest to find.
See the whole researcher behind every name.
Every record holds what would otherwise take a dozen open tabs to piece together.
Computer Vision
Phillip surname hidden in preview
Not on record
- ForesIQ Score
- 92 · Elite
- Momentum
- Steady
- Activity
- Prolific
- Self-Supervised Learning
- Representation Learning
- Image Generation
- Manipulation & Grasping
- Generative AI
- Reinforcement Learning
Zeynep surname hidden in preview
Not on record
- ForesIQ Score
- 89 · Top Tier
- Momentum
- Steady
- Activity
- Prolific
- Explainable AI
- Zero-Shot Learning
- Large Language Models
- Multimodal Learning
- Vision-Language Models
- Image Classification
Luping surname hidden in preview
University of Sydney
- ForesIQ Score
- 84 · Top Tier
- Momentum
- Steady
- Activity
- Prolific
- Semi-Supervised Learning
- Medical Imaging
- Multimodal Learning
- Medical Image Segmentation
- Image Classification
- Radiology AI
Machine Learning
Sergey surname hidden in preview
Not on record
- ForesIQ Score
- 99 · Elite
- Momentum
- Steady
- Activity
- Prolific
- Manipulation & Grasping
- Reinforcement Learning
- Imitation Learning
- Goal-Conditioned & Meta RL
- Robot Learning
- Large Language Models
Timothy surname hidden in preview
Not on record
- ForesIQ Score
- 96 · Elite
- Momentum
- Rising
- Activity
- Active
- Meta-Learning
- Reinforcement Learning
- Large Language Models
- Capsules, Memory & Attention Modules
- Manipulation & Grasping
- Generalization & Deep Learning Theory
Zeynep surname hidden in preview
Not on record
- ForesIQ Score
- 88 · Top Tier
- Momentum
- Steady
- Activity
- Prolific
- Explainable AI
- Zero-Shot Learning
- Large Language Models
- Multimodal Learning
- Vision-Language Models
- Image Classification
Natural Language Processing
Christopher surname hidden in preview
Stanford University
- ForesIQ Score
- 99 · Elite
- Momentum
- Steady
- Activity
- Prolific
- Information Extraction
- Large Language Models
- Syntax & Parsing
- Machine Translation
- Question Answering
- Word Embeddings & Lexical Semantics
Luke surname hidden in preview
Not on record
- ForesIQ Score
- 99 · Elite
- Momentum
- Steady
- Activity
- Prolific
- Semantic Parsing & Text-to-SQL
- Large Language Models
- Question Answering
- Transformers
- Cross-Lingual & Low-Resource NLP
- Zero-Shot Learning
Percy surname hidden in preview
Not on record
- ForesIQ Score
- 99 · Elite
- Momentum
- Steady
- Activity
- Prolific
- Question Answering
- Large Language Models
- Transfer Learning
- Foundation Models
- Evaluation & Benchmarking
- Semantic Parsing & Text-to-SQL
AI Systems & Infrastructure
Ion surname hidden in preview
Not on record
- ForesIQ Score
- 99 · Elite
- Momentum
- Steady
- Activity
- Prolific
- LLM Inference Serving Systems
- Large Language Models
- ML Systems & Inference Serving
- Reinforcement Learning
- Computer Networking
- Datacenter Systems
Gennady surname hidden in preview
Not on record
- ForesIQ Score
- 89 · Top Tier
- Momentum
- Steady
- Activity
- Prolific
- Memory Systems
- ML Systems & Inference Serving
- Large Language Models
- GPU Computing
- LLM Training Systems
- Transformers
Moritz surname hidden in preview
Not on record
- ForesIQ Score
- 68 · Notable
- Momentum
- Steady
- Activity
- Active
- Causal Inference
- Large Language Models
- Fairness & Bias
- Generalization & Deep Learning Theory
- Optimization
- Differential Privacy
Robotics
Chelsea surname hidden in preview
Not on record
- ForesIQ Score
- 99 · Elite
- Momentum
- Steady
- Activity
- Prolific
- Manipulation & Grasping
- Reinforcement Learning
- Robot Learning
- Imitation Learning
- Large Language Models
- Meta-Learning
Davide surname hidden in preview
University of Zurich
- ForesIQ Score
- 99 · Elite
- Momentum
- Steady
- Activity
- Prolific
- Drones & Aerial Vehicles
- Robot State Estimation & Localization
- SLAM
- Event Cameras
- Reinforcement Learning
- Motion Planning
Dorsa surname hidden in preview
Not on record
- ForesIQ Score
- 98 · Elite
- Momentum
- Rising
- Activity
- Prolific
- Manipulation & Grasping
- Imitation Learning
- Reinforcement Learning
- Large Language Models
- Human-Robot Interaction
- Robot Learning
What they work on, the conferences they publish in, how long they’ve been active, their current employer and country.
Proprietary Scoring System
See who’s genuinely ahead, and who’s rising fast.
ForesIQ’s Proprietary Scoring System gives you three reads on every researcher: research standing, momentum and activity. Each is graded within the researcher’s own field. All three come straight from their published work. That’s artifact-based scoring. It’s how the people who matter rise to the surface, and the ones about to break through show up early.
ForesIQ Score
Research standing, judged within their own field.
Momentum
Who’s rising, and how fast.
Activity
The pace of their recent research output.
Filters
From an entire field to your exact match.
Filters turn a search into a match. On a live brief, narrow the whole field to the precise expertise, standing and experience it calls for. Or get ahead of it: map a specialism with the same filters now, and you already know its strongest and fastest-rising names before the next brief lands.
Built for specialist searches
Whether you’re answering a brief or getting ahead of one.
Reactive: the brief just landed
Search the field, filter to the exact match and walk into the first conversation with credible names and the work behind them.
Proactive: ahead of the brief
Map a specialism early, track the researchers who matter and watch who’s rising. The moment a brief lands, you already know who to call.
Who it’s built for
Executive & research leadership
Find the people who can set a technical direction, with the record to back it.
Specialist & niche roles
Fill hard-to-source roles with researchers who’ve done the exact work.
Competitive talent mapping
Map an entire field and see who’s shaping it before a search begins.
Advisory & expert sourcing
Source technical advisors and reviewers by their precise specialism.
See ForesIQ in action.
We’ll send you a personalised demo of ForesIQ. See how detailed researcher profiles, field-level signals and precise filters bring the expertise you need into focus.