Spark or SAS to Python
Are you an existing Apache Hadoop, Spark, or SAS product user, looking to convert your models to Python? We can lead the charge, or augment your efforts with our best-in-class expertise. Unlock the force-multiplier that is open source and democratize data and tools for your whole organization.
Custom LLM Deployment
Want to customize large language models like ChatGPT, Bard, and Llama to work with unstructured text, code, and images using simple written English descriptions? We’ll help you configure the model for your use cases, write prompts to get the output you need, and help you debug, test, evaluate, deploy, and monitor the model locally or on the cloud.
Custom ML Annotation Tools
Do you need to label data for machine learning classification by annotating images, time-series, or other data types? We can build a custom annotation tool and user interface that is customizable from Python so you can automate your annotation tasks as your project scales.
Anaconda for Snowflake Integration & Migration
Looking to integrate Anaconda or Python-based models into Snowpark? Our experts can help you fast-track this process to get your code running in the database. We’ll show you how to setup an ETL (extract-transform-load) process, build Python UDFs (user defined functions), and schedule deployments. We’ll also help you specify reproducible environments that capture the requirements for working with Snowflake, to make code migration easy.
Do you want your code to run faster or more efficiently, from gigabyte to petabyte scale? Do you need help compiling your Python code using Numba or parallelizing it to run on many cores or even the GPU? We have years of expertise to help in most any case, especially Python performance best practices, HPC, distributed systems, and even C/C++ or Rust.
Product Integration Services
Are you interested in our latest beta products, like Anaconda Assistant, PyScript or Long-Term Python Support? Exploring how we interface products from our partners, including Azure, Amazon, Domino, Dremio, Nvidia (CUDA/RAPIDS), Snowflake, Visual Studio, or Nebari? We can help with authentication, data access, roadmap, and even early adoption assistance.
Pipeline Workflow Services
Do you need to run data or computation workflows with dependencies expressed as a directed acyclic graph (DAG) or pipeline? Running large jobs, accessing burst compute, or coordinating between competing resources with GPUs? We can help set up your workflows in the cloud or on-prem using Prefect or other workflow tools, either integrated within our Anaconda products or with other open-source solutions.
Hardware Platform Advisory
A question we hear often on this topic is “How do we attract Python developers to our hardware platform and empower them to take full advantage of it?” We can advise on the best strategy for leveraging the Python ecosystem on your platform to enable your Python users and their workloads.
Open-Source (OSS) Services
Are you using one of the open-source packages Anaconda helps maintain, some of which are listed on in our open-source directory? If you have ideas on how those projects could be improved to better meet your needs, Anaconda has expert developers on staff to help.
Our kickstart services can help you make quick progress on the rollout of a new data science program or supercharge an existing one. We offer these short engagements (of about 100 hours) at a fixed price. The goal is to get your team started, using Anaconda products and software.
Data Access Kickstart
Get quick access to your data sources with Python. Save your data scientists the time and headaches of worrying about data retrieval patterns. We’ll get you set up to access any and all of your data with a queryable catalog.
We’ll help you build interactive deployable web dashboards with Python. With high-quality, reliable dashboards, you can share your data insights without being tied to a specific vendor or platform rules.
Get set up to deploy projects on your infrastructure. Capitalize on your current infrastructure setup and start deploying Anaconda-backed projects—even in a fully air-gapped environment.
Environment Management Kickstart
The easiest way to manage your conda environments. Manage Python and R package environments, so your users can access the packages they want, while respecting your organization’s governance and compliance policies.
Dask Infrastructure Kickstart
Distributed compute made easy: Run large compute jobs on your existing Kubernetes, Hadoop, or HPC resources, on premises or in the cloud, without having to rewrite your Python-based workflows.
Our experts will get you up and running with a properly configured, centralized facility for running Jupyter Notebook backed by conda environments.
We offer a wide range of additional services that you can access for one-time or ongoing support.
If you require help with a project you don’t see on this page, reach out to us using the form below.
Migrating to open source (OSS)
Open-sourcing your code
Making your results interactive
Model management deployment
Kubernetes cluster management
Working with geographic and geospatial data
Dask cluster management
Spark to Dask migrations
Other ad-hoc services