An easier and faster way to productionize data for AI
The best AI teams aren’t blocked by data engineering. They use Tecton to easily turn their data into AI context for better models.
TRUSTED BY TOP ENGINEERING TEAMS
AI DATA PLATFORM
Build better AI applications, faster
Tecton makes it simple to turn structured and unstructured data into the right AI context and retrieve it instantly for any Gen AI or Predictive ML application.
Productionize more, faster
Get new models to production 80% faster with Tecton automating all of the data pipelines under the hood.
Build more accurate models
Improve model performance with rapid feature experimentation and features served with 100% accuracy.
Drive down production costs
Lower the cost of infrastructure, turning expensive workloads into highly efficient data services.
WHY TECTON
Abstract away the data complexity
With Tecton, data scientists and AI/ML engineers aren’t tied down with writing low level code, building and maintaining data pipelines, or managing data infrastructure.
Developer Experience
Get your data ready for AI with context as code
Data scientists and AI/ML engineers simply declare features, embeddings and prompts from any data source and Tecton automates accurate and reliable pipelines.
Create features from any source
Simplify feature engineering for real-time, batch, and streaming data via simple, intuitive Python framework.
Build fresh embeddings
Create embeddings for vector similarity search or for point lookups via Tecton’s fully-managed embeddings service.
Engineer context-rich prompts
Streamline the full-lifecycle of prompt engineering for LLM applications from development, management, to retrieval.
# Define
@stream_feature_view(
source=transactions,
entities=[user],
online=True,
offline=True,
features=[Aggregate(“amount”,“mean”,td(mins=30)])
def stream_features(transactions):
return df[[“user_id”, “timestamp”, “amount”]]
# Train
training_data = stream_features.get_features_for
_events(training_events)
$ tecton workspace select prod
$ tecton apply┃
Automated Pipelines
Don’t hassle with building data pipelines
Tecton automates and orchestrates accurate and reliable pipelines to materialize and serve features to your models. It’s like having a team of data engineers running and tuning your infrastructure.
RELIABLY SERVE
Quickly retrieve data with enterprise reliability
Tecton’s highly performant serving system handles the strictest freshness, throughput, and latency requirements. And, our platform ensures data is 100% accurate, so no training-serving skew.
Low-latency online inference
Tecton’s real-time serving infrastructure can compute, join, and retrieve features at 100,000 RPS in under 5 milliseconds.
Training data at any scale
Tecton can easily create and manage training data sets at petabyte scale through its batch serving infrastructure.
Real-time computed context
Tecton processes features on-the-fly when the application requires real-time data freshness with millisecond latency.
tecton benefits
The easiest way to build smarter AI
Data is the differentiator for AI. Leave the manual, resource-intensive data engineering to Tecton. All of the context, none of the blockers.
Simple
Streamline all of the engineering to compute, manage, and retrieve fresh context for AI.
Fresh
Provide models the most up-to-date data for AI for accurate and reliable predictions and responses.
Reliable
Ensure data your models need is always available, performant, and secure with enterprise reliability.
Efficient
Reduce computing costs with Tecton efficiently running infrastructure to compute, store, and retrieve context.
Unified
Activate and manage all of your data assets for any AI or ML from any batch, streaming, and real-time data source.
Performant
Retrieve features, embeddings, and prompts in real-time at <5 ms at 100K requests per second.
Engineering Teams ❤️ Tecton
Learn more
Technical Resources
Check out our resource library to the catch up on the latest blogs, videos, and webinars/talks.
Make it smarter
