PostgresML
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Seranova is an automated reputation management platform designed for local service businesses that depend on Google Reviews to acquire customers. It replaces manual follow-ups, inconsistent review requests, and reactive problem handling with a predictable, automated workflow.
The platform sends post-job feedback requests via SMS, analyzes customer responses using sentiment analysis, and routes the interaction based on the message's tone. Positive replies receive a Google Review link, neutral replies receive a simple clarifying question, and negative replies are escalated privately to the owner or manager before all of them are asked for a public review, giving the owners one more chance to correct whatever went wrong. This prevents minor issues from turning into public one-star reviews.
Seranova includes smart routing rules, draft responses for public reviews, and precise analytics that show patterns in feedback across technicians, locations, or service types. It is built specifically for industries like HVAC, plumbing, electrical, roofing, restaurants, salons, and clinics, where a high Google rating directly impacts bookings, revenue, and local search visibility.
The goal of Seranova is to help owners stay ahead of customer sentiment, improve service quality over time, and maintain a steady stream of authentic five-star reviews without manually chasing customers or micromanaging technicians.
PostgresML
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Based on our record, PostgresML seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The web service supports generating embeddings from OpenAI and Ollama AI models. It also provides a fallback for users without access to AI models running on a remote server through PostgresML. - Source: dev.to / over 1 year ago
That's outside of the database, though. This is more like what I had in mind -- I just found it: https://postgresml.org/. - Source: Hacker News / about 2 years ago
Some excellent tools were created to represent these tasks "naturally" in SQL and even let most of the computation happen inside the database. PostgresML is a great example. It's built above PostgreSQL and provides a set of functions that allow you to train and use machine learning models with SQL. Here's how you can train a classification model for the classic handwritten digit recognition problem:. - Source: dev.to / over 2 years ago
PostgresML | You know Postgres. Now you know machine learning โ PostgresML. - Source: dev.to / over 2 years ago
You can swap in almost any open-source model on Huggingface. HuggingFaceH4/zephyr-7b-beta, Gryphe/MythoMax-L2-13b, teknium/OpenHermes-2.5-Mistral-7B and more.If you haven't seen us here before, we're PostgresML, an open-source MLOps platform built on Postgres. We bring ML to the database rather than the other way around. Source: over 2 years ago
Talk To Your Data App - Tak to your data in natural language, no technical skills required. PostgreSQL, MySQL, HubSpot, Mailchimp & many more SaaS platforms. Get instant answers, visualizations & insights.
Birdeye - AI Agents for Multi-Location Brands
Pinecone - Search through billions of items for similar matches to any object, in milliseconds. Itโs the next generation of search, an API call away.
Podium - Podium helps your business get more customer reviews, manage customer feedback, customer interaction, and online review management from one software.
ChatWithCloud AI - Chat with your AWS Cloud from Terminal. Talk to your Cloud, literally.
NiceJob - Get more reviews and build an build an awesome reputation with NiceJob.