Brando Koch

ML Engineer & CEO privatesynapse.ai

Feb. 2024

Introducing privatesynapse.ai

We are excited to be bringing to light a new paradigm in using AI privately. In this article, I will be going over what is Private Synapse's anchor in the everchanging AI landscape.

Restoring the Balance of Power

Having worked with AI long before the advent of ChatGPT and its generative artificial intelligence counterparts, I've witnessed the evolving needs and demands of companies firsthand.

The recent emergence of foundational models, whether large language models (LLMs) or large vision models (LVMs), has compelled companies to adapt rapidly to remain relevant. Initially, their options were limited, with companies like OpenAI controlling access to the most advanced AI models and justifying their accessibility on a business basis. There was a noticeable performance gap between these state-of-the-art models and the ones that were open-source or readily available for private deployment. This distinction is crucial, as companies place immense value on private technology as a significant part of their value proposition.

Fortunately, the open-source community recognized this issue and achieved the seemingly impossible. Every day we can observe the release of models approaching and even surpassing the performance of closed AI models. The democratization of AI is achieved, is it not?

While these released models match the benchmark performance of closed AI models, they come with considerable baggage. They are not optimized for production, their codebases often lack essential components for genuine private adoption, and their usage implications still require expert intervention to leverage their full potential.

The democratization of AI is no longer solely about accessing AI technology but also about possessing the skills to privately deploy that technology in production.

3 blockers to World-Class private AI

Companies face three key requirements in their quest for private generative AI solutions with state-of-the-art performance. Each of these requirements entails significant costs for the company.

1. AI team. To harness and adapt the latest AI models processing text, images, audio, or speech, companies need AI experts proficient in those modalities.
2. Engineering team. Fine-tuning an AI model is one thing, but putting it into production is another. Production use cases require appropriate serving solutions, quantization, dynamic batching, autoscaling, drift detection, etc. A dedicated engineering team must tackle these challenges while being well-versed in MLOps.
3. Time. Even with all the aforementioned investments, companies still require additional time to realize the solution. This is an unpredictable variable, especially in AI projects, making it hard to estimate.

How privatesynapse.ai Helps

At privatesynapse.ai, we deeply engage with companies seeking fully private AI solutions or products residing in their environment and under their control.

We achieve this by developing purpose-built end-to-end AI products that we optimize, package, and deploy privately in your AWS environment. No third-party dependencies or internet connections are needed.

Here is a list of challenges we are solving:

• Text understanding and analysis: Using large language models for sentiment analysis, question answering, summarization, semantic search, retrieval augmented generation (RAG).
• Speech & Audio analysis: Speech recognition (Speech-to-text), audio sentiment analysis, Speech Synthesis (Text-to-speech), Diarization, Timestamping.
• Image analysis: Using visual language models for image understanding, image captioning, image question answering.

How we remove the 3 blockers.

Our solutions do not necessitate an in-house AI team. Our team builds and optimizes the models and prepares them for real-world use. Additionally, we handle deployment for you, eliminating the need for a dedicated MLOps team to put our models into production. Finally, our solutions are ready for use upon release, requiring no time investment. We can confidently deploy our solutions privately in under two weeks, significantly reducing your costs.

Stay tuned for more details on how we can assist and the forthcoming release of our first product!