


Improve AI Accuracy and Reduce Cost
One size does not fit all - Datawizz routes your requests between different LLMs and specially trained SLMs to reduce AI costs by up to 95% while getting better results than any single LLM.

About
About
About
Different
models
are better
at
different
things.
Datawizz
clusters
your
different
LLM
requests
and routes
them
to the best
model,
every
time.
Different
models
are better
at
different
things.
Datawizz
clusters
your
different
LLM
requests
and routes
them
to the best
model,
every
time.
Different
models
are better
at
different
things.
Datawizz
clusters
your
different
LLM
requests
and routes
them
to the best
model,
every
time.
20%
Higher Accuracy
Higher Accuracy
85%
Lower Costs
Lower Costs
90%
Less Downtime
Less Downtime
How It Works
How It Works
How It Works
Building your own Specialized Language Model is as simple as that




Datawizz Integration
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from openai import OpenAI
client = OpenAI(
api_key="sk-your_openai_api_key", # <--- your datawizz project API key
base_url="https://gw.datawizz.app/**************/openai/
v1", # <--- your datawizz project base URL
)
response = client.chat.completions.create(
model="********", # <--- this is the DataWizz Endpoint you
are routing to,
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What's the speed of light?"},
],
}
]
)
Datawizz Integration
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from openai import OpenAI
client = OpenAI(
api_key="sk-your_openai_api_key", # <--- your datawizz project API key
base_url="https://gw.datawizz.app/**************/openai/
v1", # <--- your datawizz project base URL
)
response = client.chat.completions.create(
model="********", # <--- this is the DataWizz Endpoint you
are routing to,
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What's the speed of light?"},
],
}
]
)
Integrate
Datawizz deploys into your existing application - no code changes needed




Datawizz Integration
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from openai import OpenAI
client = OpenAI(
api_key="sk-your_openai_api_key", # <--- your datawizz project API key
base_url="https://gw.datawizz.app/**************/openai/
v1", # <--- your datawizz project base URL
)
response = client.chat.completions.create(
model="********", # <--- this is the DataWizz Endpoint you
are routing to,
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What's the speed of light?"},
],
}
]
)
Datawizz Integration
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from openai import OpenAI
client = OpenAI(
api_key="sk-your_openai_api_key", # <--- your datawizz project API key
base_url="https://gw.datawizz.app/**************/openai/
v1", # <--- your datawizz project base URL
)
response = client.chat.completions.create(
model="********", # <--- this is the DataWizz Endpoint you
are routing to,
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What's the speed of light?"},
],
}
]
)






Open-weights Model - 7B
Open-weights Model - 13B
Open-weights Model - 40B
Datawizz Integration
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from openai import OpenAI
client = OpenAI(
api_key="sk-your_openai_api_key", # <--- your datawizz project API key
base_url="https://gw.datawizz.app/**************/openai/
v1", # <--- your datawizz project base URL
)
response = client.chat.completions.create(
model="********", # <--- this is the DataWizz Endpoint you
are routing to,
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What's the speed of light?"},
],
}
]
)
Request
Language
English
French
Model A
Model B
Open-weights Model - 7B
Open-weights Model - 13B
Open-weights Model - 40B
Datawizz Integration
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from openai import OpenAI
client = OpenAI(
api_key="sk-your_openai_api_key", # <--- your datawizz project API key
base_url="https://gw.datawizz.app/**************/openai/
v1", # <--- your datawizz project base URL
)
response = client.chat.completions.create(
model="********", # <--- this is the DataWizz Endpoint you
are routing to,
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What's the speed of light?"},
],
}
]
)
Request
Language
English
French
Model A
Model B
Route
Use Datawizz to route requests to different models based on content, topic, task or size - getting the best result every time.






Datawizz Integration
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from openai import OpenAI
client = OpenAI(
api_key="sk-your_openai_api_key", # <--- your datawizz project API key
base_url="https://gw.datawizz.app/**************/openai/
v1", # <--- your datawizz project base URL
)
response = client.chat.completions.create(
model="********", # <--- this is the DataWizz Endpoint you
are routing to,
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What's the speed of light?"},
],
}
]
)
Request
Language
English
French
Model A
Model B
Datawizz Integration
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from openai import OpenAI
client = OpenAI(
api_key="sk-your_openai_api_key", # <--- your datawizz project API key
base_url="https://gw.datawizz.app/**************/openai/
v1", # <--- your datawizz project base URL
)
response = client.chat.completions.create(
model="********", # <--- this is the DataWizz Endpoint you
are routing to,
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What's the speed of light?"},
],
}
]
)
Request
Language
English
French
Model A
Model B
Train
Datawizz fine-tunes Specialized Language Models based on your data






Open-weights Model - 7B
Open-weights Model - 13B
Open-weights Model - 40B
82% Accuracy
90% Savings
91% Accuracy
80% Savings
96% Accuracy
70% Savings
Open-weights Model - 7B
Open-weights Model - 13B
Open-weights Model - 40B
Request
Language
English
French
Model A
Model B
Open-weights Model - 7B
Open-weights Model - 13B
Open-weights Model - 40B
82% Accuracy
90% Savings
91% Accuracy
80% Savings
96% Accuracy
70% Savings
Open-weights Model - 7B
Open-weights Model - 13B
Open-weights Model - 40B
Request
Language
English
French
Model A
Model B






Open-weights Model - 7B
Open-weights Model - 13B
Open-weights Model - 40B
82% Accuracy
90% Savings
91% Accuracy
80% Savings
96% Accuracy
70% Savings
Open-weights Model - 7B
Open-weights Model - 13B
Open-weights Model - 40B
75%
25%
Open-weights Model - 13B
Open-weights Model - 7B
Open-weights Model - 13B
Open-weights Model - 40B
82% Accuracy
90% Savings
91% Accuracy
80% Savings
96% Accuracy
70% Savings
Open-weights Model - 7B
Open-weights Model - 13B
Open-weights Model - 40B
75%
25%
Open-weights Model - 13B
Deploy
You can choose to deploy a model to production - no code changes




82% Accuracy
90% Savings
91% Accuracy
80% Savings
96% Accuracy
70% Savings
Open-weights Model - 7B
Open-weights Model - 13B
Open-weights Model - 40B
75%
25%
Open-weights Model - 13B
82% Accuracy
90% Savings
91% Accuracy
80% Savings
96% Accuracy
70% Savings
Open-weights Model - 7B
Open-weights Model - 13B
Open-weights Model - 40B
75%
25%
Open-weights Model - 13B
Benefits
Benefits
Benefits
Why it’s worth growing with Datawizz

Get Started Now
Integrating Datawizz takes under 15 minutes.



API Requests
Number of API requests made to the project
6
4
2
0
Oct 23
Oct 25
Oct 26
Oct 27
Oct 28
Oct 29
Oct 30
Oct 31
API Requests
Number of API requests made to the project
6
4
2
0
Oct 23
Oct 25
Oct 26
Oct 27
Oct 28
Oct 29
Oct 30
Oct 31
API Requests
Number of API requests made to the project
6
4
2
0
Oct 23
Oct 25
Oct 26
Oct 27
Oct 28
Oct 29
Oct 30
Oct 31
AI Analytics
AI Analytics
AI Analytics
Understand your AI Consumption and Performance
Datawizz let’s you understand your LLM consumption patterns:
Model Quality and User Feedback
Token consumption
Inference costs
Smart Routing
Smart Routing
Smart Routing
Route your AI Requests to the right model every time
Datawizz let’s you define smart rules to route AI requests to different models and providers based on separate criteria (think different models for different tiers, different context sizes or different end users)

Request

Regular User

Lightweight model
Enterprise User
Performance Model
Regular User
Lightweight model

Enterprise User

Performance Model

Request

Regular User

Lightweight model
Enterprise User
Performance Model
Regular User
Lightweight model

Enterprise User

Performance Model

Request

Regular User

Lightweight model
Enterprise User
Performance Model
Regular User
Lightweight model

Enterprise User

Performance Model
ID
6b50-996e-ae2f-e050
57eb-8955-ff2d-1827
a16b-5f60-a85e-63ab
f923-5432-f8e4-1856
8c69-8167-bd8e-73dc
7d05-dbac-e5be-9443
Project
Proxy
Proxy
Proxy
Proxy
Proxy
Proxy
Endpoint
Testing
Testing - Antropic
Testing
Testing
Testing
Testing - Antropic
Duration
1,620ms
770ms
0ms
0ms
850ms
1,975ms
Model
OpenAI/gpt-4o-mini
Antropic/claude-3-5-sonnet
OpenAI/gpt-4o-mini
OpenAI/gpt-4o-mini
OpenAI/gpt-4o-mini
Antropic/claude-3-5-sonnet
Tokens
13 Input / 120 Output
13 Input / 7 Output
13 Input / 71 Output
13 Input / 49 Output
13 Input / 53 Output
13 Input / 91 Output
Status
SUCCESS
SUCCESS
SUCCESS
SUCCESS
SUCCESS
SUCCESS
ID
6b50-996e-ae2f-e050
57eb-8955-ff2d-1827
a16b-5f60-a85e-63ab
f923-5432-f8e4-1856
8c69-8167-bd8e-73dc
7d05-dbac-e5be-9443
Project
Proxy
Proxy
Proxy
Proxy
Proxy
Proxy
Endpoint
Testing
Testing - Antropic
Testing
Testing
Testing
Testing - Antropic
Duration
1,620ms
770ms
0ms
0ms
850ms
1,975ms
Model
OpenAI/gpt-4o-mini
Antropic/claude-3-5-sonnet
OpenAI/gpt-4o-mini
OpenAI/gpt-4o-mini
OpenAI/gpt-4o-mini
Antropic/claude-3-5-sonnet
Tokens
13 Input / 120 Output
13 Input / 7 Output
13 Input / 71 Output
13 Input / 49 Output
13 Input / 53 Output
13 Input / 91 Output
Status
SUCCESS
SUCCESS
SUCCESS
SUCCESS
SUCCESS
SUCCESS
ID
6b50-996e-ae2f-e050
57eb-8955-ff2d-1827
a16b-5f60-a85e-63ab
f923-5432-f8e4-1856
8c69-8167-bd8e-73dc
7d05-dbac-e5be-9443
Project
Proxy
Proxy
Proxy
Proxy
Proxy
Proxy
Endpoint
Testing
Testing - Antropic
Testing
Testing
Testing
Testing - Antropic
Duration
1,620ms
770ms
0ms
0ms
850ms
1,975ms
Model
OpenAI/gpt-4o-mini
Antropic/claude-3-5-sonnet
OpenAI/gpt-4o-mini
OpenAI/gpt-4o-mini
OpenAI/gpt-4o-mini
Antropic/claude-3-5-sonnet
Tokens
13 Input / 120 Output
13 Input / 7 Output
13 Input / 71 Output
13 Input / 49 Output
13 Input / 53 Output
13 Input / 91 Output
Status
SUCCESS
SUCCESS
SUCCESS
SUCCESS
SUCCESS
SUCCESS
AI Data Platform
AI Data Platform
AI Data Platform
Collect and Manage LLM Logs and Human Feedback to Constantly Improve your AI
Datawizz collects your AI requests logs and quality feedback for better analysis and future training. The best way to manage your AI data.
Model Distillation
Model Distillation
Model Distillation
Automatically train smaller and more efficient models that you own
With Datawizz you can easily fine-tune top-tier SLMs with your custom data. Just choose a model, distil
Large Language Model
Models like OpenAI / Anthropic / Gemini:
Expensive
Slow
Cloud-only
Vendor Locked
Custom Specialized Language Model
Comparing to OpenAI / Anthropic / Gemini:
10-100x Cheaper
Faster
On-prem / edge
Freedom
Large Language Model
Models like OpenAI / Anthropic / Gemini:
Expensive
Slow
Cloud-only
Vendor Locked
Custom Specialized Language Model
Comparing to OpenAI / Anthropic / Gemini:
10-100x Cheaper
Faster
On-prem / edge
Freedom
Large Language Model
Models like OpenAI / Anthropic / Gemini:
Expensive
Slow
Cloud-only
Vendor Locked
Custom Specialized Language Model
Comparing to OpenAI / Anthropic / Gemini:
10-100x Cheaper
Faster
On-prem / edge
Freedom
You:
Create a short tagline for a new cybersecurity software for businesses
gpt-4o:
Protect what matters with advanced cybersecurity
llama-3.2-1B:
Fortify your business with unbeatable cyber defense.
You:
I like the GPT's answer better
Your prompt...
You:
Create a short tagline for a new cybersecurity software for businesses
gpt-4o:
Protect what matters with advanced cybersecurity
llama-3.2-1B:
Fortify your business with unbeatable cyber defense.
You:
I like the GPT's answer better
Your prompt...
You:
Create a short tagline for a new cybersecurity software for businesses
gpt-4o:
Protect what matters with advanced cybersecurity
llama-3.2-1B:
Fortify your business with unbeatable cyber defense.
You:
I like the GPT's answer better
Your prompt...
Model Evaluation
Model Evaluation
Model Evaluation
Evaluate different AI models to find the right balance of cost, performance and accuracy
Compare model performance with manual and automated benchmarking to understand model performance in real-life scenarios.
LLM Guardrails
LLM Guardrails
LLM Guardrails
Secure against abuse with smart policies
Datawizz lets you define smart policies to secure and enhance your LLM traffic, protecting your app against abuse, hallucinations and prompt injections.


