With over 15 years of industry experience, Sama’s data annotation and validation solutions help you build more accurate GenAI and LLMs—faster.
Our team will help you build upon an existing LLM to create a proprietary model tailored to your specific needs. We’ll craft new prompts and responses, evaluate model outputs, and rewrite responses to improve accuracy and context optimization.
Our human-in-the-loop approach drives data-rich model improvements & RAG embedding enhancements through a variety of validation solutions. Our team provides iterative human feedback loops that score and rank prompts along with evaluating outputs. We also provide multi-modal captioning and sentiment analysis solutions to help models develop a nuanced understanding of user emotion and feedback.
We’ll help create new data sets that can be used to train or fine tune models to augment performance. If your model struggles with areas such as open Q&A, summarization or knowledge research, our team will help create unique, logical examples that can be used to train your model. We can also validate and reannotate poor model responses to create additional datasets for training.
Our team of highly trained of ML engineers and applied data scientists crafts prompts designed to trick or exploit your model’s weaknesses. They also help expose vulnerabilities, including generating biased content, spreading misinformation, producing harmful outputs and more to improve the safety and reliability of your Gen AI models. This includes large scale testing, fairness evaluation, privacy assessments and compliance.
Accelerate your model development with our advanced 3D technologies, including: SLAM algorithms to augment your sensors; custom intensity points visualization; accumulated point clouds; egomotion compensation; pre-annotation; and global coordinates conversions. We easily load up to 14 cameras and multiple point-clouds from multi-LiDAR, radar, and/or ultrasonic sensors.
Our proactive approach minimizes delays while maintaining quality to help teams and models hit their milestones. All of our solutions are backed by SamaAssure™, the industry’s highest quality guarantee for ADAS, AV, and Generative AI. We start with a 95% written quality guarantee for every project but can guarantee up to 99.5%—regardless of complexity or scale.
SamaIQ™ combines the expertise of the industry’s best specialists with deep industry knowledge and proprietary algorithms to deliver faster insights and reduce the likelihood of unwanted biases and other privacy or compliance vulnerabilities.
SamaHub™, our collaborative project space, is designed for enhanced communication. Clients have access to collaboration workflows, self-service sampling and complete reporting to track their project’s progress.
We offer a variety of integration options, including APIs, CLIs, and webhooks that allow you to seamlessly connect our platform to your existing workflows. The Sama API is a powerful tool that allows you to programmatically query the status of projects, post new tasks to be done, receive results automatically, and more. We also offer custom engineering to integrate deeply into your custom APIs and workflows.
Beyond computer vision, Sama’s Supervised Fine Tuning service for LLMs helps improve in-cabin safety and experience with better voice commands, and unlocks other multi-modal AI experiences such as vision + audio, or gestures + voice. We can also layer voice + sentiment analysis to detect changes in tone which affect meaning.
Sama’s model evaluation projects start with tailored consultations to understand your requirements for model performance. We’ll align on how you want your model to behave and set targets across a variety of dimensions.
Our team of Solutions engineers will collaborate with your team to connect to our platform and ensure a smooth flow of data. This can involve either connecting to your existing APIs or having custom integrations built specifically for your needs.
Our expert team meticulously crafts a plan to systematically test and evaluate model outputs to expose inaccuracies. We follow a robust evaluation process that involves a thorough examination of both prompts and the corresponding responses generated by the model. We will assess these elements based on predefined criteria, which may include factors like factual accuracy, coherence, consistency with the prompt's intent, and adherence to ethical guidelines.
As errors in model outputs are identified, our team will begin creating an additional training data set that can be used to finetune model performance. This new data consists of rewritten prompts and corresponding responses that address the specific mistakes made by the model.
When the project is complete, we follow a structured delivery process to ensure smooth integration with your LLM training pipeline. We offer flexible and customizable delivery formats, APIs, and the option for custom API integrations to support rapid development of models.
We have been impressed, not only with their consistent level of high quality, but with their entire approach to training data strategy. To us they are a perfect addition to our work in AI.
We have been impressed, not only with their consistent level of high quality, but with their entire approach to training data strategy. To us they are a perfect addition to our work in AI.
You can imagine the heaps of images coming in from the restaurants that we work with. Most are identified by image recognition algorithms, but for outliers and edge cases, we rely on Sama.
You can imagine the heaps of images coming in from the restaurants that we work with. Most are identified by image recognition algorithms, but for outliers and edge cases, we rely on Sama.
Sama’s agents became increasingly better at labeling our data thanks to feedback loops. This iterative way of working has made them experts on our data.
Sama’s agents became increasingly better at labeling our data thanks to feedback loops. This iterative way of working has made them experts on our data.
Having worked with different cloud providers where the staff doing the actual work was always very hidden from us, we appreciated the transparency and social sustainability of Sama.
Having worked with different cloud providers where the staff doing the actual work was always very hidden from us, we appreciated the transparency and social sustainability of Sama.
There’s a possibility to make an impact on legislation and on the environment, but not without accurately labeled data.
There’s a possibility to make an impact on legislation and on the environment, but not without accurately labeled data.
The team quickly learned to distinguish between waste objects, which differ greatly from region to region. Communication channels remained open for feedback, with a continuous open discussion about how efforts were progressing.
The team quickly learned to distinguish between waste objects, which differ greatly from region to region. Communication channels remained open for feedback, with a continuous open discussion about how efforts were progressing.
Sama gave us visibility into the data labeling process, with tight QA feedback loops to ensure the high standard of quality we required for our models.
Sama gave us visibility into the data labeling process, with tight QA feedback loops to ensure the high standard of quality we required for our models.
Working with Sama has made a demonstrable impact on our ability not only to service our current clients better but also to expand our services to new types of clients and new markets.
Working with Sama has made a demonstrable impact on our ability not only to service our current clients better but also to expand our services to new types of clients and new markets.
Quality is important to them. You really get the sense they are there for more than just the financial transaction. They are a true partner.
Quality is important to them. You really get the sense they are there for more than just the financial transaction. They are a true partner.
Sama was a force multiplier for us and a key success factor for our project. They delivered high-quality annotated data on time, listened to our feedback, and were very flexible in accommodating our requests.
Sama was a force multiplier for us and a key success factor for our project. They delivered high-quality annotated data on time, listened to our feedback, and were very flexible in accommodating our requests.
We significantly improved our training data, enhancing our object detection algorithm to identify people or doors.
We significantly improved our training data, enhancing our object detection algorithm to identify people or doors.
We had a ton of pictures of cows from Washington, where we are, but cows look different in Africa. Diversity in the dataset has been super challenging.
We had a ton of pictures of cows from Washington, where we are, but cows look different in Africa. Diversity in the dataset has been super challenging.
Once you have a trained team, it pays off because they know what to look for. Some objects just blend into the background in images, so you need a trained eye to spot them.
Once you have a trained team, it pays off because they know what to look for. Some objects just blend into the background in images, so you need a trained eye to spot them.
In a partner we’re looking for someone that can handle the volumes of data that we can generate, and handle those volumes in a quality manner. Sama is able to fulfill our business requirements, and do that cost effectively, but they have the added benefit of being an impact provider.
In a partner we’re looking for someone that can handle the volumes of data that we can generate, and handle those volumes in a quality manner. Sama is able to fulfill our business requirements, and do that cost effectively, but they have the added benefit of being an impact provider.
Sama’s agility, ability to scale, and transparency they’ve given along the way make them the ideal training data partner.
Sama’s agility, ability to scale, and transparency they’ve given along the way make them the ideal training data partner.
Trying to create AI models that can work on any stage of plant can be a challenge. Sama’s annotation solution helped us overcome this issue. Sama’s accuracy rate is consistently at 99%, which is incredible!
Trying to create AI models that can work on any stage of plant can be a challenge. Sama’s annotation solution helped us overcome this issue. Sama’s accuracy rate is consistently at 99%, which is incredible!
Sama delivers not only accurate video annotation, but insights and recommendations via our vertically integrated platform combined with human-in-the-loop experts, all while embracing an ethical AI approach. This is why companies come to us when other video annotation solutions fail.
No matter how complex your models, we consistently deliver a 99% client acceptance rate as you scale, even with high ambiguity images and edge cases.
Sama has over 15 years of experience and our annotators have an average tenure of 2+ years. Vertically segmented teams provide expertise into industry nuances.
As the first AI certified B Corp, Sama has provided economic opportunities for over 65,000 employees from underserved communities.
ISO certified delivery centers, a biometric secured platform and our in-house workforce help protect your data from unauthorized access and data corruption from ingestion to delivery.
Your data remains protected and private because it’s managed in a secure facility by full-time in-house workforce of data experts. Your Data is Yours – Sama does not share or keep any datasets for training or other purposes, unlike crowdsourced alternatives.
Learn more about Sama's work with data curation
To ensure effective and responsible implementation of Gen AI, financial institutions must navigate challenges such as model explainability, data privacy, and regulatory compliance. By understanding the tech’s potential and the strategies for overcoming associated risks, you can position your organization for a competitive advantage in the age of intelligent automation. Here are four key things to consider.