The Fastest Way to Build AI Apps and Workflows

Automate workflows and back office processes without code

TectorShift pipeline builder UI showing interconnected nodes for building AI workflows

An ecosystem to build, deploy,and manage AI applications

No-code

Build and deploy powerful applications with drag and drop components and customizable deployment interfaces. No coding required.

Code SDK

Access all functionality of the TectorShift platform through your IDE through simple, intuitive APIs. Complete interoperability between No-code and Code SDK.

pipeline_setup.py
from tectorshift.node import *
from tectorshift.pipeline import *

file_node = InputNode(name='file_input', input_type='file')
model_text_node = TextNode(text='Describe this file to me.')
fileloader_node = FileLoaderNode(file_input=file_node.output())
llm_node = OpenAI_LLMNode(
  model='gpt-4.0-turbo',
  system_input=model_text_node.output(),
  prompt_input=fileloader_node.output()
)

output_node = OutputNode(
  name='my_output',
  output_type='text',
  input=llm_node.output()
)

Leverage AI throughout your
company and products

Assistants icon

Assistants

Integrate natural language search and live-sync databases such as Notion and Airtable to automate information retrieval.

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When was this contract started?

20230329-Product-Contract-Acme.pdf

The contract started on January 1, 2023.

When was this contract last modified?

20230329-Product-Contract-Acme.pdf

The contract was last modified by John D. on June 13, 2023. The modifications were done on page 3,4 and 16.

What's the contract ceiling?

20230329-Product-Contract-Acme.pdf

The contract ceiling is USD$1,000,000.

Chatbot icon

Chatbot

Prototype, customize, and deploy a customer facing chatbot in minutes. Use cases including customer support, onboarding flow, lead collection, and white-glove advisory.

I can help answer any questions about our product!

What are your pricing tiers?

Sure, we offer 3 pricing tiers based on your usage of the platform.

BASIC PLAN

$12 per month

✔ 5 projects

✔ Unlimited revisions

PRO PLAN

$18 per month

✔ 10 projects

✔ Unlimited revisions

CUSTOM PLAN

Varied pricing

✔ 20 projects

✔ Unlimited revisions

Thank you, which tier do you think works best for us?

Workflow Automation icon

Workflow Automation

Automate the creation of marketing copy, personalized outbound emails, call summaries, and graphics at scale.

Website

Tables

PDFs

Videos

Audio

Document

How it works

1
Start with a template

Leverage dozens of pre-built templates for end use cases - ranging from research report generators to resume screeners.

2
Connect data

Allow your AI application to leverage raw data in any format (websites, documents, or CSVs) or directly connect with your database.

3
Intuitive drag and drop builder

Build and rapidly iterate on your application's architecture with a large library of drag and drop components. Transfer your work seamlessly between no-code and our python SDK.

4
Customize and deploy to end users

Export a chatbot or generate an API endpoint instantly. Customize the look and feel of the application.

Enterprise solutions

We leverage our secure infrastructure and development platform to build and deploy high-ROI AI solutions for your organizations.

Learn more
High volume chatbot interface

High volume
chatbot

RFP and proposal
generators

Report generation chart

Report
generation

Personalized email outbound template

Personalized email
outbound

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Knowledge
search

Leverage AI across data of all formats

Summarize and answer questions about documents, videos, audio files, and websites. Analyze and compare documents seamlessly.

Website
Tables
PDFs
Videos
Audio
Document

TectorShift Docs

Unlock advanced features and detailed guides in our extensive documentation.

Browse documentation
pipeline_setup.py
from tectorshift.node import *
from tectorshift.pipeline import *

file_node = InputNode(name='file_input', input_type='file')
model_text_node = TextNode(text='Describe this file to me.')

llm_node = OpenAI_LLMNode(
  model='gpt-4.0-turbo',
  system_input=model_text_node.output(),
  prompt_input=fileloader_node.output()
)

output_node = OutputNode(
  name='my_output',
  output_type='text',
  input=llm_node.output()
)

FAQ