Datature’s cover photo
Datature

Datature

Software Development

San Francisco, California 18,926 followers

Powering Breakthrough AI with MLOps.

About us

Datature simplifies the way people build deep-learning capabilities. Using Nexus, our end-to-end #nocode mlops platform, we enable everyone to create AI breakthroughs of their own.

Website
https://datature.com
Industry
Software Development
Company size
11-50 employees
Headquarters
San Francisco, California
Type
Privately Held
Founded
2020
Specialties
Computer Vision, Machine Learning, Deep Learning, Artificial Intelligence, and MLOps

Products

Locations

Employees at Datature

Updates

  • New Vision Language Model Product Incoming 🔥

    View profile for Keechin Goh

    CEO at Datature | Powering Breakthrough Vision AI

    Last month, our team went deep into hacker mode - a focused sprint surrounded by good energy, post-it chaos, and way too much coffee - to build something we’ve been dreaming about for months from scratch. We’re launching a brand-new product within the #VLM (Vision-Language Model) space, designed to solve some of the hardest problems teams face today ↘ Managing annotations for Phrase Grounding, VQA, and referring expressions Ring-fencing GPU resources for fine-tuning, testing, and deployment Seamlessly scaling custom VLM workflows from prototype to production This product aligns with Datature's mission → to make complex vision technologies accessible to the underserved 80% of the industry. More news coming soon: product walkthroughs, intro videos, and tutorials to show how teams can fine-tune VLMs for their own niche use cases - faster than ever before. VLMs are here to stay. And with the ability to fine-tune them to your world, they become incredibly powerful. If this is the tool you’ve been waiting for, ping us 👇

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  • View organization page for Datature

    18,926 followers

    MemryX Inc. and Datature have partnered to simplify and accelerate Edge AI. Datature’s Nexus platform makes it easy to build and train custom vision AI models, while the MemryX MX3 AI Accelerator ensures those models run efficiently at the edge - with high performance, low power, and no reliance on the cloud. This whitepaper, authored by Datature in collaboration with MemryX Inc., highlights how our combined platforms enable effortless training and deployment of AI models at the edge - delivering cost efficiency, scalability, and real-world performance without compromise. 📄 Read the full whitepaper below ↘ 🌐 Learn more: memryx.com | datature.com #EdgeAI #AIAcceleration #MemryX #Datature #semiconductors

  • Datature reposted this

    View profile for Keechin Goh

    CEO at Datature | Powering Breakthrough Vision AI

    I’m excited to announce that I’ll be speaking at Carta's LP/GP Summit 2025, a closed-door event for investors in APAC & MENA. Catch Dennis Le, Director at Openspace and me on the Summit’s spotlight session “The Age of AI: Defining the 2025 Vintage”. We’re pulling back the curtain on our AI-forward investment thesis through an exciting demo of how Datature is using AI to transform Machine Vision in Healthcare, Manufacturing, and Agriculture. You won’t want to miss it - see you there!

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  • Give Your Robots the Power to See and Act 🤖 📅 Date: September 24, 2025 🕒 Time: 11:00 AM PT 🎥 Zoom: https://lnkd.in/edwQbdct Robots need more than motion — they need vision. Join us for a hands-on session to see how Datature ’s no-code platform helps you build and deploy real-time computer vision systems in hours, not months. In this webinar, you’ll learn how to: → Build production-ready computer vision systems for robots in hours, not months → Train and deploy real-time models for detection, navigation, and manipulation → Implement continuous learning pipelines that evolve as your robots operate → Connect vision AI outputs to robotic control systems via simple APIs/SDKs → Easily deploy models to edge hardware using Datature Outpost for on-device inference Register now and bring intelligence to your robots. 🦾

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  • New on Datature → t-SNE Embedding Visualization Working with thousands of images can be overwhelming - that’s why we’re excited to introduce our #tSNE Embedding Projector, now live on Datature for all users. With this feature, you can: 🔍 Instantly spot duplicates and anomalies 📊 Visualize clusters to understand your dataset distribution ⚡ Accelerate labeling with bulk and cluster-based curation 🖱️ Interactively explore embeddings with lasso selection, hover previews, and adjustable parameters By reducing high-dimensional embeddings into an interpretable 2D view, the Projector makes it easier than ever to uncover hidden patterns, clean datasets, and streamline workflows - whether you’re working with medical images, drone footage, or complex industrial datasets. Engineering Blog → https://lnkd.in/gUc-QC7Q 👉 Available today in the Asset Tab under “Projector.” Try it out and let us know your feedback as we refine this feature further! #ComputerVision #MachineLearning #DataAnnotation #tSNE #Datature

  • Datature reposted this

    AI-Powered Medical Imaging in Action 🧠 📅 Date: August 27, 2025 🕒 Time: 11:00 AM PT 🎥 Zoom: https://lnkd.in/e4rjUUji Medical imaging is evolving, and AI is unlocking faster, more accurate diagnostics. Join us for a hands-on session and discover how Datature’s secure, no-code platform empowers healthcare teams to build and deploy 2D + 3D vision AI with ease. In this webinar, you’ll learn how to: → Annotate complex 2D scans and 3D volumetric data using intelligent labeling tools → Train custom AI models for use cases like cancer detection, cardiovascular disease, and cell segmentation → Handle DICOM formats and ensure HIPAA-compliant workflows → Deploy models on-prem or to edge devices for real-time clinical inference → Implement active learning loops to improve accuracy with new patient data Register and Speak Soon!🧬 #medical #hospitals #healthcare #computervision #visionAI

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  • AI-Powered Medical Imaging in Action 🧠 📅 Date: August 27, 2025 🕒 Time: 11:00 AM PT 🎥 Zoom: https://lnkd.in/e4rjUUji Medical imaging is evolving, and AI is unlocking faster, more accurate diagnostics. Join us for a hands-on session and discover how Datature’s secure, no-code platform empowers healthcare teams to build and deploy 2D + 3D vision AI with ease. In this webinar, you’ll learn how to: → Annotate complex 2D scans and 3D volumetric data using intelligent labeling tools → Train custom AI models for use cases like cancer detection, cardiovascular disease, and cell segmentation → Handle DICOM formats and ensure HIPAA-compliant workflows → Deploy models on-prem or to edge devices for real-time clinical inference → Implement active learning loops to improve accuracy with new patient data Register and Speak Soon!🧬 #medical #hospitals #healthcare #computervision #visionAI

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  • Turn Your Assembly Line into an AI-Powered Inspector 🤖 📅 Date: 30th July 2025 🕒 Time: 1100H PST 🎥 Zoom: https://lnkd.in/gY8QtT5a Even a tiny defect can slip past human eyes - leading to recalls, rework, and lost revenue. Join us for a hands-on session and discover how Datature's end-to-end vision platform can put an AI “inspector” on your production line. In this webinar, you’ll learn how to: → Rapidly curate & annotate defect datasets with AI-assisted labeling → Train a high-performance detection model in just a few clicks → Deploy to edge devices via Datature Outpost with seamless OTA updates → Simulate real-time defect detection & alerts, plus automatic feedback loops for continuous retraining Register and Speak Soon!

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  • Datature reposted this

    View profile for Keechin Goh

    CEO at Datature | Powering Breakthrough Vision AI

    From tracking vehicles to smart‑city cameras analyzing human flow, consistently locking onto moving objects is how teams turn insights into impact. This is why Datature just published an updated “A Comprehensive Guide to Object‑Tracking Algorithms in 2025” 𝐒𝐨𝐦𝐞 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 𝐒𝐚𝐦𝐛𝐚𝐌𝐎𝐓𝐑: Synchronized State‑Space Modeling - https://lnkd.in/gqvt7K5D - SambaMOTR synchronizes multiple state‑space models so sports, dance and swarm‑analytics projects keep IDs even when objects overlap. 𝐂𝐀𝐌𝐄𝐋𝐓𝐫𝐚𝐜𝐤: Context‑Aware Multi‑cue Exploitation - https://lnkd.in/gNDbPT42 𝐂𝐮𝐭𝐢𝐞: Object‑Level Memory Reading - https://lnkd.in/ghME-3Gg - A memory-augmented tracker that reads object-specific features from memory to maintain identity across occlusions and clutter. Achieves strong VOS performance with real-time speed. 𝐃𝐀𝐌4𝐒𝐀𝐌 (SAM2 .1 ++): Distractor‑Aware Memory for SAM2 - https://lnkd.in/gQPAhTpg - An upgrade to SAM2 that uses distractor-aware memory to improve mask tracking across frames. Enhances segmentation stability in crowded or fast-moving scenes. Read Our New List 👉 https://lnkd.in/gn7ejfre

  • Integrating metadata into your AI training pipeline significantly boosts model accuracy and robustness ↘ Our latest guide dives deep into advanced model fusion techniques, specifically focusing on leveraging metadata such as location enumerations, IMU readings, geo-coordinates, sensor data, and more. ✅ Fundamental concepts of metadata-aware model fusion ✅ Detailed methods for implementation (early, late, and hybrid fusion) ✅ Best practices for selecting suitable techniques tailored to your application Optimize your models by effectively harnessing diverse data streams. Read more about our findings here → https://lnkd.in/gkrAQdzw

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Funding

Datature 3 total rounds

Last Round

Seed

US$ 4.0M

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