From ideation to execution and beyond

Language models and transformers are machine learning models used for natural language tasks such as translation and text generation.

NLP-powered categorization of posts and other textual information and produces an image matching that description

Cognitive biases to understand or learn any intellectual task that a human being can

Cognitive biases to understand or learn any intellectual task that a human being can

We understand AI decisions much before it takes decisions for your customers

For industry marketing automation across industries using Deep Reinforcement Learning

For privacy, product testing, and training machine learning algorithms

Quickly design and engineer POC's (Proof of concept) machine learning solutions — from pipelines to products.

From image analysis and human activity recognition to semantic search and manual task automation, deep learning models can achieve it all

We use the open-source software repository for data manipulation and analysis

We use Apache Kafka to provide a unified, high-throughput, low-latency platform for managing real-time data feeds.

For unified insight and analysis engine for large-scale data processing.

Automating software deployment with Kubernetes, with docker integration

For classification, regression, and clustering algorithms, support-vector machines, random forests, gradient boosting, k-means, and DBSCAN.

A python interface for the TensorFlow library to solve all your machine-learning problems

From research prototyping to production deployment, we operate through Pytorch

We leverage the granularities of TensorFlow and help your data scientists to leverage it to build successful ML models with TensorFlow for MLOps

Get end-to-end visibility of your production models and adopt a proactive approach toward model management

We build advanced Large Language Models and NLP tools through Co:here

With our partners at Nvidia, boost model accuracy and directly influence the bottom line with highly optimized machine learning pipelines.

Using Databricks MLOps stacks, engineers can quickly get started iterating on ML code for new projects while Attri sets up CI/CD and ML services

Attri + GCP drives success with Google's vast cloud offerings and Attri's proficiency in tech transformations

We understand the nuances of AWS SageMaker and help you with superior machine-learning models

We have integrated with Microsoft to build, deploy, and manage high-quality AI models faster