AI for Government and Security Video Analysis

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Government

Turn fragmented footage into unified intelligence.

Securely connect signals and activity across vast networks of cameras and sources – to build a complete operational picture.

Talk to Sales

Securely connect signals and activity across vast networks of cameras and sources – to build a complete operational picture.

Talk to Sales

Cross-Source Fusion

Unify CCTV, drone and satellite video into a single searchable intelligence system.

Incident response

Analyze critical footage and generate actionable summaries in minutes.

Evidence discovery

Identify recurring patterns, linked events and anomalies across vast evidence archives.

Use Cases

Security has never been so simple.

Search across millions of video hours

Tag-free semantic exploration

Natural language prompts and tailored search

Time-stamped and confidence-scored results

Search across millions of video hours

Tag-free semantic exploration

Natural language prompts and tailored search

Time-stamped and confidence-scored results

Make sense of vast video footage

Automated surveillance footage analysis

Metadata generation

Pattern and anomaly detection

Make sense of vast video footage

Automated surveillance footage analysis

Metadata generation

Pattern and anomaly detection

Understand your security posture

Detailed AI-driven reports

Contextualized content analysis

Automated incident documentation

Understand your security posture

Detailed AI-driven reports

Contextualized content analysis

Automated incident documentation

Our Value

State-of-the-art, straight out of the box.

Use on any cloud, fine-tune with your own data, and deploy your custom model. We give you the keys to state-of-the-art AI that adapts to your specific needs.

World-class accuracy.

Our video-native AI beats benchmarks from cloud majors and open-source models.

At a monumental scale.

Our powerful infrastructure handles the largest video libraries – even petabytes of data.

With total customization.

Our models can be easily trained on your data to become experts in your domain.

And deployable anywhere.

On cloud, private cloud, or on-premise – deploy safely and easily, wherever you need us.

World-class accuracy.

Our video-native AI beats benchmarks from cloud majors and open-source models.

At a monumental scale.

Our powerful infrastructure handles the largest video libraries – even petabytes of data.

With total customization.

Our models can be easily trained on your data to become experts in your domain.

And deployable anywhere.

On cloud, private cloud, or on-premise – deploy safely and easily, wherever you need us.

With total customization.

Our models can be easily trained on your data to become experts in your domain.

And deployable anywhere.

On cloud, private cloud, or on-premise – deploy safely and easily, wherever you need us.

Python

Node

from twelvelabs import TwelveLabs
import os

client = TwelveLabs("<YOUR_API_KEY>")

# Create new Index
index = client.index.create(        
     name="My First Index",
     engines=[
       {                
         "name": "marengo2.7",
         "options": ["visual", "audio"],
       },
     ],
  )
# Create new Task on Index (Upload the video)
video_path = os.path.join(os.path.dirname(__file__), "<YOUR_FILE_PATH>")
task = client.task.create(index_id=index.id, file=video_path, language="en")

# Wait for indexing to finish
task.wait_for_done()

# Search from your index
query = "An artist climbing up the ladder that he painted."
result = client.search.query(index.id, query, ["visual", "audio"])
‍print(result)

Python

Node

from twelvelabs import TwelveLabs
import os

client = TwelveLabs("<YOUR_API_KEY>")

# Create new Index
index = client.index.create(        
     name="My First Index",
     engines=[
       {                
         "name": "marengo2.7",
         "options": ["visual", "audio"],
       },
     ],
  )
# Create new Task on Index (Upload the video)
video_path = os.path.join(os.path.dirname(__file__), "<YOUR_FILE_PATH>")
task = client.task.create(index_id=index.id, file=video_path, language="en")

# Wait for indexing to finish
task.wait_for_done()

# Search from your index
query = "An artist climbing up the ladder that he painted."
result = client.search.query(index.id, query, ["visual", "audio"])
‍print(result)

Python

Node

from twelvelabs import TwelveLabs
import os

client = TwelveLabs("<YOUR_API_KEY>")

# Create new Index
index = client.index.create(        
     name="My First Index",
     engines=[
       {                
         "name": "marengo2.7",
         "options": ["visual", "audio"],
       },
     ],
  )
# Create new Task on Index (Upload the video)
video_path = os.path.join(os.path.dirname(__file__), "<YOUR_FILE_PATH>")
task = client.task.create(index_id=index.id, file=video_path, language="en")

# Wait for indexing to finish
task.wait_for_done()

# Search from your index
query = "An artist climbing up the ladder that he painted."
result = client.search.query(index.id, query, ["visual", "audio"])
‍print(result)