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Our Approach
The integrated platform designed for accuracy and security
Building your own AI stack can be slow and expensive. Sia abstracts complexity so you can focus on AI-first workflows, not maintaining infrastructure.
Knowledge Graph
Knowledge Graph, our graph-based RAG, anchors generative AI in your company data. It achieves higher accuracy and fewer hallucinations than approaches that use vector retrieval.
Amplify your team's potential with customizable AI agents
Our flexible application layer offers a wide range of applications to meet your specific needs. E.g. leverage AI-driven sales agents to elevate your revenue, and harness automated, AI-powered document generation to boost your team's performance.
Your data isn’t the product
Your data is private, no re-training of models on your internal knowledge. Enterprise-grade security to manage your data access policies with control and confidence. We maintain certifications for security like ISO 27001.
Our proprietary graph-based Retrieval-Augmented Generation (RAG) technology ensures that every piece of generated content is rooted in verified knowledge, ensuring decisions are based on the most accurate, up-to-date knowledge available.
Automatically transforming raw data from databases, PDFs, e-mail, messaging, etc. into knowledge
Leverage the analytical prowess of LLMs to ensure the data you use is accurate, reliable, and free from inconsistencies
Instantly find the information you need with our powerful, intuitive search functionality, making your entire knowledge effortlessly navigable.
AI legal companion for your business. Analyzes legal documents, ensures regulatory compliance, aids in contract management, and combines advanced natural language processing with human insights to provide effective legal support, from document review to dispute resolution.
AI investment companion for banking clients. It analyzes vast amounts of data, offers investment recommendations, optimizes portfolios, and ensures compliance, while incorporating human assistance for nuanced insights, strategic advice, and collaborative decision-making.
There is a large class of problems that are easy to imagine and build demos for, but extremely hard to make products out of. These are the practical patterns for integrating multimodal Large Language Models (LLMs) into systems & products in an enterprise:
ETL Pipelines
Companies need to build highly concurrent, scalable and reproducible workflows for data processing. Vast amounts of data involved, leading to significant computational and storage challenges.
RAG Pipelines
Retrieval-Augmented Generation (RAG) fetches relevant data from outside the foundation model and enhances the input with this data, providing richer context to improve output.
Collect user and AI feedback
Gathering user feedback allows us to learn their preferences. Specific to LLM products, user feedback contributes to building evals, fine-tuning, and guardrails. RLHF, RLAIF, DPO, etc.
Evals
Evaluations are a set of measurements used to assess a model’s performance on a task.
Agents
Agents are LMMs that can take actions, like browsing the Internet, sending emails, making reservations, etc. They should be considered as a new Operating Systems (OS).
Guardrails
Guardrails are the set of safety controls that monitor and dictate a user’s interaction with a LMM application.
Fine-tuning
Fine-tuning is the process of taking a pre-trained model (that has already been trained with a vast amount of data) and further refining it on a specific task.
Scaling
Effectively managing and scaling multiple applications leveraging LMMs demands more than a mere notebook approach.
Sia has saved us thousands of hours of work. We’re able to spin up projects and features faster.
Dan Wellinton
Product Owner, Quotient
Support
Frequently asked questions
Everything you need to know about the product and billing.
Is there a free trial available?
Yes, you can try us for free for 30 days. Our friendly team will work with you to get you up and running as soon as possible.
Can I change my plan later?
Of course. Our pricing scales with your company. Chat to our friendly team to find a solution that works for you.
What is your cancellation policy?
We understand that things change. You can cancel your plan at any time and we’ll refund you the difference already paid.
Can other info be added to an invoice?
Yes, you can try us for free for 30 days. If you want, we’ll provide you with a free, personalized 30-minute onboarding call to get you up and running as soon as possible.
How does billing work?
Plans are per workspace, not per account. You can upgrade one workspace, and still have any number of free workspaces.
How do I change my account email?
You can change the email address associated with your account by going to untitled.com/account from a laptop or desktop.
Is there a free trial available?
Yes, you can try us for free for 30 days. Our friendly team will work with you to get you up and running as soon as possible.
Can I change my plan later?
Of course. Our pricing scales with your company. Chat to our friendly team to find a solution that works for you.
What is your cancellation policy?
We understand that things change. You can cancel your plan at any time and we’ll refund you the difference already paid.
Can other info be added to an invoice?
At the moment, the only way to add additional information to invoices is to add the information to the workspace's name.
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