Are you a HighLevel Agency looking to resell Synthflow?Learn more ➝
Build AI Agents at Scale
No Coding Required!
Forget lengthy development cycles and expensive machine learning teams. With ALGONLP you can build sophisticated, tailored AI agents without technical skills or coding – just bring your data and ideas.
What We Offer
DEFECT DETECTION
Boost quality control in a production process — automate visual inspection by identifying missing components using computer vision.
SCRIPT-WRITING
Generate creative starting points for books, movies, or other media. Leverage an AI co-pilot to help with editing scripts and creating a consistent tone.
SENTIMENT ANALSYIS
Understand the sentiment of words, sentences, paragraphs, or documents. Tune to your subject matter and language style for a high degree of precision.
NEWS ANALYSIS
Pull names, events, and more from news so you can drive insights and make decisions.
MACHINE CONDITION DETECTION
Assess the condition of your machines through sensor data.
IMAGE AND VIDEO ANALYSIS
Automate editing workflows, catalog your assets, and extract meaning from your images and videos.
About Us
ALGONLP is an artificial intelligence platform
ALGONLP is an artificial intelligence platform that allows you to use the most advanced AI engines, and even train your own engines with your own data. This platform is focused on data privacy by design so you can safely use AI in your business without compromising confidentiality, and even deploy our AI models on-premise / at the edge. We offer both small specific AI engines and large cutting-edge generative AI engines so you can easily integrate the most advanced AI features into your application at an affordable cost.
Why Build With ALGONLP?
High Performance
On-Premise / Edge AI
No Complexity
Data Privacy And Security
Multilingual AI
Custom Models
Built For Developers
ALGONLP provides you with a simple and robust API.
Scalability and high availability are managed seamlessly by the platform.
Not sure how to correctly use generative AI and large language models? Our support team is here to advise!
See our client libraries on Github
More details in the documentation
Artifical Intelligence & Natural Language Processing Expert at Fiverr.
Our Clients Loves Us
Edge AI / On-Premise
Most of our AI models can be deployed on your own servers.
This is the best solution for critical applications that require a high level of privacy like medical applications, financial applications… Our models do not require an internet connection.
It is also interesting in case of applications requiring a low latency, since you can make sure that your AI model is as close as possible to your end users.
Provisioning your own AI infrastructure can be challenging. That is why our engineers can assist you during the deployment process if needed.
You can also fine-tune your own models on NLP Cloud, and then deploy them on your own servers.
Use Cases
Use Case
Model Used
Automatic Speech Recognition (speech to text): extract text from an audio or video file, with automatic language detection, and automatic punctuation, in 100 languages.
We use OpenAI’s Whisper Large model.
Classification: send a piece of text, and let the AI apply the right categories to your text, in many languages. As an option, you can suggest the potential categories you want to assess.
We use Joe Davison’s Bart Large MNLI Yahoo Answers, Joe Davison’s XLM Roberta Large XNLI, LLaMA 2, and Dolphin, for classification in 100 languages. For classification without potential categories, use LLaMA 2/Dolphin.
Chatbot/Conversational AI: discuss fluently with an AI and get relevant answers, in many languages.
We use LLaMA 2, and Dolphin. They are powerful alternatives to OpenAI GPT-4 and ChatGPT.
Code generation: generate source code out of a simple instruction, in any programming language.
We use LLaMA 2, and ChatDolphin. They are powerful alternatives to OpenAI GPT-4 and ChatGPT.
Dialogue Summarization: summarize a conversation, in many languages
We use Bart Large CNN SamSum.
Embeddings: calculate embeddings in more than 50 languages.
We use several Sentence Transformers models like Paraphrase Multilingual Mpnet Base V2.
Grammar and spelling correction: send a block of text and let the AI correct the mistakes for you, in many languages.
We use LLaMA 2, and ChatDolphin. They are powerful alternatives OpenAI GPT-4 and ChatGPT.
Headline generation: send a text, and get a very short summary suited for headlines, in many languages
We use Michau’s T5 Base EN Generate Headline.
Image Generation/Text To Image: generate an image out of a simple text instruction.
We use Stability AI’s Stable Diffusion model. It is a powerful alternative to OpenAI DALL-E 2 or MidJourney.
Intent Classification: understand the intent of a piece of text, in many languages.
We use LLaMA 2, and ChatDolphin. They are powerful alternatives to OpenAI GPT-4 and ChatGPT.
Keywords and keyphrases extraction:extract the main keywords from a piece of text, in many languages
We use LLaMA 2, and ChatDolphin. They are powerful alternatives to OpenAI GPT-4 and ChatGPT.
Language Detection: detect one or several languages from a text.
We use Python’s LangDetect library.
Lemmatization: extract lemmas from a text, in many languages
All the large spaCy models are available.
Named Entity Recognition (NER): extract structured information from an unstructured text, like names, companies, countries, job titles… in many languages.
You can perform NER with all the large spaCy models. You can also use LLaMA 2, and Dolphin, which are powerful alternatives to OpenAI GPT-4 and ChatGPT.
Noun Chunks: extract noun chunks from a text, in many languages
All the large spaCy models are available.
Paraphrasing and rewriting: generate a similar content with the same meaning, in many languages.
We use LLaMA 2, and ChatDolphin. They are powerful alternatives to OpenAI GPT-4 and ChatGPT.
Part-Of-Speech (POS) tagging: assign parts of speech to each word of your text, in many languages
All the large spaCy models are available.
Question answering: ask questions about anything, in many languages. As an option you can give a context so the AI uses this context to answer your question.
We use Deepset’s Roberta Base Squad 2. We also use LLaMA 2, and ChatDolphin which are powerful alternatives to OpenAI GPT-4 and ChatGPT.
Semantic Search: search your own data, in more than 50 languages.
Create your own semantic search model, based on Sentence Transformers, out of your own domain knowledge (internal documentation, contracts…) and ask semantic questions on it.
Semantic Similarity: detect whether 2 pieces of text have the same meaning or not, in more than 50 languages.
Create your own semantic search model, based on Sentence Transformers, out of your own domain knowledge (internal documentation, contracts…) and ask semantic questions on it.
Sentiment and emotion analysis: determine sentiments and emotions from a text (positive, negative, fear, joy…), in many languages. We also have an AI for financial sentiment analysis.
We use Paraphrase Multilingual Mpnet Base V2.
Summarization: send a text, and get a smaller text keeping essential information only, in many languages
We use Facebook’s Bart Large CNN. We also use LLaMA 2, and ChatDolphin which are powerful alternatives to OpenAI GPT-4 and ChatGPT.
Text generation: achieve all the most advanced AI use cases by either making requests in natural language (“instruct” requests) or using few-shot learning.
We use LLaMA 2, Dolphin, and ChatDolphin. They are powerful alternatives to OpenAI GPT-4 and ChatGPT. You can also fine-tune your own text generation model for even better results.
Tokenization: extract tokens from a text, in many languages
All the large spaCy models are available.
Translation: translate text in 200 languages with automatic input language detection.
We use Facebook’s NLLB 200 3.3B for translation in 200 languages.
Train Your Own Models
Train/Fine-Tune your own AI models with your own business data, and use them straight away in production without worrying about deployment considerations like GPU availability, memory usage, high-availability, scalability... You can upload and deploy as many models as you want into production.
Support
Already have an account? Send us a message from your dashboard.
Otherwise, send us an email to mail@algonlp.com
We also provide advanced expertise around AI (consultancy, training, integration…). Feel free to tell us more about your project.
Security At NLP Cloud
ALGONLP places the safety of your data and privacy as a major concern. To guarantee the platform and data stay safe, we continuously deploy our resources and methods into our platform and methods. Mentioned below is only a portion of the security protocols we use. If you’d like to discuss how NLP Cloud can conform to your compliance requirements, please contact us!
Physical Security
The ALGONLP production data is handled and held inside the most reliable cloud services and corporate data-centers.
Data Storage
Data that is stored for long-term use is safeguarded by being cryptographically processed.
System Security
The firewalls and secure system settings put in place protect all of the ALGONLP servers and databases. Furthermore, Linux is the operating system that powers all of our production servers.
Password Encryption
ALGO NLP only stores a hashed version of your password, following the PBKDF2 algorithm with a SHA256 hash.
Internal Policies
ALGO NLP has generated extensive safety protocols touching on multiple aspects. These protocols are constantly renewed and distributed among all collaborators.
Collaborators Access
Every employee understands security protocols and regulations and participates in frequent training programs. Only a limited set of system administrators are allowed to access the ALGONLP servers
Disaster Recovery
ALGO NLP maintains regular backups of information and regularly assesses its ability to restore the data in the event of a major issue.
Change Control
ALGO NLP implements strong guidelines to strike a balance between regulation and speed while changing system configurations.
Penetration Tests
We use outside security specialists to conduct thorough examinations of the ALGONLP system.
Trusted By
ask us
anything
A token is a unique entity that can either be a small word, part of a word, or punctuation. On average, 1 token is made up of 4 characters, and 100 tokens are roughly equivalent to 75 words. Natural Language Processing models need to turn your text into tokens in order to process it.
Yes. All the I models can be tested for free thanks to the Free plan without a credit card. The pay-as-you-go plan plan is the best way to easily test all the features without restrictions. A credit card is needed for this plan, but you automatically get an initial $15 credit for your tests.
Yes, there is a “Monthly Usage” section in your dashboard that lets you monitor the number of requests you made during the month and the number of tokens you generated. It is updated in real time.
No you can’t, but this is something we are working on. If you want to make sure your costs are perfectly under control, we encourage you to select a pre-paid plan like the Starter plan, the Full plan, or the Enterprise plan. With these plans, you know exactly how much you are going to spend per month.
Yes. Most of our AI models are available at the edge / on-premise. Our engineers are here to help, so please don’t hesitate to contact us for more questions about privacy and low-latency.
It depends. Most of our AI models work very well without a GPU. But the most advanced models based on text generation like Dolphin and LLaMA 2 need a GPU in order to address bigger inputs and outputs, and to respond promptly. More generally, a GPU is recommended for production use for most of our models as it considerably improves the throughput and the response time.