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Tel Aviv · Data Annotation

Training data that makes your AI actually work.

Point.AI delivers expert annotation across image, video, audio, and text — plus end-to-end AI modeling. Built by specialists. Powered by a team that believes great data starts with humans who genuinely care.

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4+
Data types
E2E
AI modeling
100%
Transparent process
Annotation workspace ● Live
Person 0.97
Car 0.93
Road surface
Bounding box
94%
Segmentation
78%
Key-points
61%
✓
QA approved
Batch 047 · 2,400 labels
⚡
On schedule
Delivery in 3 days
Image Annotation
Video Labeling
Audio Segmentation
Text Classification
Object Detection
Semantic Segmentation
Instance Segmentation
Named Entity Recognition
Speaker Diarization
Polygon Annotation
Key-Point Detection
AI Modeling
Image Annotation
Video Labeling
Audio Segmentation
Text Classification
Object Detection
Semantic Segmentation
Instance Segmentation
Named Entity Recognition
Speaker Diarization
Polygon Annotation
Key-Point Detection
AI Modeling

Trusted by leading organizations

📺 As featured on Israel's Channel 13 — National News

/ 01 — Services

Everything your AI needs
to learn from great data.

We handle the full annotation pipeline — from raw data intake to clean, production-ready training sets. Simple projects to complex multi-modal pipelines.

01
Image Annotation
Precise, consistent labeling for computer vision — from bounding boxes to panoptic segmentation. Matched to your model's exact needs.
Bounding boxPolygonKey-pointsLandmark
02
Video Annotation
Frame-by-frame tracking and labeling for temporal models. Object tracking, action recognition, and event detection — with full temporal consistency.
Object trackingFrame labelingAction recognition
03
End-to-End AI Modeling
Beyond annotation — we model. Data pre-processing, architecture selection, training, hyperparameter optimization, and evaluation. You share the goal; we build the path.
TrainingArchitectureEvaluationOptimization
04
Audio Annotation
Accurate segmentation, speaker diarization, and timestamp annotation for ASR and audio AI systems — including multi-speaker and noisy recordings.
Speaker diarizationTimestampsSegmentation
05
Text Annotation
NER, entity linking, classification, and sentiment labeling for NLP and LLM fine-tuning. We work across English, Hebrew, Arabic, and more.
NERClassificationEntity linkingSentiment
06
Data Collection
Custom data sourcing across image, audio, video, and text formats — built precisely to your training requirements and domain specifications.
ImageAudioVideoTextCustom datasets

/ 02 — Process

How we work

A structured, communicative approach. You're never left guessing — we flag issues early, share progress, and iterate until it's right.

STEP 01
🔍
Intake & scoping
We assess your raw data, define annotation guidelines, and align on quality standards before a single label is placed.
STEP 02
✍️
Expert annotation
Trained specialists work through your dataset using the best-fit tools for your project. Complex cases are escalated to senior annotators.
STEP 03
✅
Multi-layer QA
Structured review at every batch. We share metrics, provide samples, and iterate with you until the quality bar is consistently met.
STEP 04
🚀
Delivery & iteration
Clean data, delivered in your preferred format. We remain available for follow-up rounds as your model and requirements evolve.
annotation-viewer.app
Vision
Language
Audio
Vehicle · 0.96
Road · semantic
bbox: 1 semantic: 1 keypoints: 3

/ 03 — Annotation types

Every label, precisely placed.

We cover the full spectrum across all data modalities — simple to dense, single-class to panoptic.

Vision
  • Bounding box detection →
  • Polygon segmentation →
  • Key-point & landmark →
  • Semantic segmentation →
  • Instance segmentation →
  • Panoptic segmentation →
Language
  • Text categorization →
  • Named entity recognition →
  • Entity linking →
  • Sentiment & intent labeling →
Audio
  • Audio segmentation →
  • Timestamp annotation →
  • Speaker diarization →
POINT.AI

/ 04 — Our story

We started with a question no one was asking.

In 2019, the founders of Point.AI looked at the global data annotation industry and saw something broken. Hundreds of millions of dollars were flowing into AI companies — while the humans actually making that AI possible were treated as an afterthought. Invisible, underpaid, and given no stake in the future they were helping build.

They asked: what if data annotation could be done differently? What if the people who label the data were the most important part of the product — not the cheapest line item in a budget?

"Making a social impact in the world while providing top artificial intelligence services isn't a compromise. It's the strategy."

— Point.AI founding principle

Point.AI was built in Tel Aviv with exactly that belief. We created a company where quality and social purpose reinforce each other — where the annotators are skilled, invested, and genuinely proud of what they produce. Because we know that when people care about their work, the work is better. And better data builds better AI.

Today, we serve clients across defense, healthcare, autonomous systems, and enterprise AI — earning trust not through the lowest price, but through the highest quality and the most transparent process in the industry.

Work with us →
2019
Founded
TLV
Headquartered
4+
Modalities
🌍
Social impact as a business model
We didn't add social impact to our pitch deck. We built the company around it. Every project creates meaningful, skilled employment — and that investment comes back in the quality of our output.
🏙️
Rooted in Tel Aviv's tech ecosystem
From HaHashmal 4 in the heart of Tel Aviv, we work alongside Israel's most innovative tech companies and defense organizations — and serve clients globally.
📺
Recognized nationally
Our approach to AI services and workforce development was featured on Israel's Channel 13 national news — recognition that the model works, and that others are watching.

/ 05 — Our people

The minds behind the labels are our greatest competitive advantage.

"The detail that makes the difference between a good model and a great one is often invisible to most people — but not to ours."

At Point.AI, a significant and deliberate part of our team is neurodivergent — including annotators and team members on the autism spectrum, with ADHD, dyslexia, and other cognitive profiles. This isn't a diversity initiative. It's a quality decision.

Research consistently shows that many neurodivergent individuals possess exceptional abilities in pattern recognition, sustained focus, systematic thinking, and precision detail work — the exact cognitive profile that distinguishes outstanding annotation from adequate annotation.

The data annotation industry often relies on high-volume, low-engagement work environments. We built the opposite: a structured, supportive, and genuinely interesting place to apply exceptional minds. Our neurodivergent team members don't succeed here in spite of our standards — they help us raise them.

🎯
Hyper-focus & precision
Many of our annotators can sustain deep concentration on detailed visual tasks for extended periods without degraded accuracy — a rare and genuinely valuable trait in this field.
🧩
Pattern recognition
Identifying subtle inconsistencies, edge cases, and anomalies in complex visual scenes is where our team excels — catching what automated tools and less focused reviewers miss.
📐
Systematic consistency
The ability to apply rules consistently and precisely across thousands of samples — without cutting corners or drifting from the brief — is exactly what high-quality annotation demands.
💡
Deep task engagement
Our team members find genuine meaning in doing difficult labeling work well. That intrinsic motivation — caring about getting it right — translates directly into better data quality for our clients.

We provide structured workflows, clear guidelines, supportive management, and a work environment designed around the strengths of each individual. In return, our clients get something rare in this industry: annotators who genuinely care, and whose cognitive strengths are perfectly suited to the work.

Our workforce approach
Neurodiversity is our
quality strategy.
Cognitive strengths we build around
Hyper-focus Pattern recognition Detail precision Systematic thinking Consistency Deep engagement Edge-case detection Rule adherence
Voices from the team
A
Amir
Senior Annotator · Autism Spectrum
"I notice things in images that others scroll past. Here, that's not a quirk — it's my job. I've never felt more useful."
R
Rivka
QA Lead · ADHD
"When something interests me, I can focus on it for hours without losing accuracy. Data annotation is genuinely interesting to me. That combination is rare."
Y
Yael
Image Specialist · Dyslexia
"I process visual information differently. It turns out that's a strength when your entire job is looking at images very carefully."
OUR COMMITMENT
Every team member receives structured onboarding, a clear and predictable workflow, regular feedback, and a management team trained in neurodiversity-inclusive practices. We don't just employ neurodivergent people — we build around them.

/ 06 — Expertise

Why the quality of your annotation partner matters more than you think.

Inconsistent labels don't just slow training — they corrupt model behavior in ways you won't catch until production. We're built to get it right the first time.

01 · COMMUNICATION
Open communication, always.
You'll never be left guessing. We flag issues early, loop you in on edge cases, and maintain a clear line of communication throughout every project — not just at kickoff and delivery. Unexpected changes are handled swiftly and collaboratively.
02 · TOOLING
Multi-tool proficiency.
We work in the annotation platforms that suit your project — not the ones that are easiest for us. LabelStudio, CVAT, Labelbox, Scale, and more. We adapt to your stack and workflow without friction.
03 · COMPLEXITY
Simple to complex, handled equally well.
Our annotators are trained for high-ambiguity tasks. Challenging edge cases, dense scenes, and specialized domains are handled with the same care as standard tasks. We don't reserve the best work for the easiest projects.
04 · CAPABILITY
End-to-end, when you need it.
Need more than labels? Our AI modeling team can take your annotated data all the way through training and evaluation — one partner, one pipeline, no handoff gaps, no communication overhead.

/ 07 — About us

We believe great AI starts with humans who care.

Point.AI is a Tel Aviv-based data annotation and AI modeling company on a mission to make social impact and technical excellence inseparable. We're not a platform. We're a team of specialists who take ownership of every project we touch.

FOUNDING
Point.AI is established in Tel Aviv
Founded with a clear double mandate: deliver top-tier AI services and create meaningful employment for people who are often overlooked by the tech industry.
GROWTH
Neurodiversity program launched
We formalized our commitment to neurodivergent employment — building structured workflows and management practices that unlock the exceptional cognitive strengths of our team.
RECOGNITION
Featured on Israel's Channel 13
National broadcast recognition for our unique approach to combining AI service excellence with genuine social purpose — proof the model works.
EXPANSION
Point.MED — Medical Distribution
Launched our sister company Point.MED, a medical distributor supplying high-quality equipment for neurology, ophthalmology, plastic surgery, and otolaryngology — including patient-specific implants.
TODAY
Serving clients globally from Tel Aviv
From HaHashmal 4, our team delivers annotation and modeling services to organizations across defense, healthcare, autonomous systems, and enterprise AI worldwide.
Headquarters
HaHashmal 4
Tel Aviv-Yafo, Israel
Serving clients globally
Our values
Quality-first Radical transparency Social impact Neurodiversity Open communication Continuous improvement
Sister company
Point.MED
Medical distributor providing a wide range of high-quality equipment for neurology, ophthalmology, plastic surgery, and otolaryngology — including patient-specific implants. We help medical professionals improve patient outcomes with the latest technology, ensuring fast delivery and direct contact with surgeons.

Visit Point.MED →
Connect

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Ready to build
models that work?

Tell us about your project. We'll scope it, recommend the right annotation strategy, and get started fast. No unnecessary overhead.

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Address
HaHashmal 4, Tel Aviv-Yafo
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Image · Video · Audio · Text · AI Modeling