Reliability Tooling Platform
for AI Agents & LLMs



Reliability Tooling Platform
for AI Agents & LLMs


AI Tools
Repository

Connect your AI projects with Superface to access most required services with 200+ tools with the highest market reliability.

Automated Connectivity

EDGAR is internal agent that builds Intelligent-Tools based on your prompted use-case.


The closer to the use-case you built the connectors the higher accuracy you achieve.

Intelligent Tools

Context-aware agents that serves as a smart connectors to APIs.


Specialists are tool-specific agents that plan out and perform tasks for

the calling agent. It’s like the micro-services but with agents.

How does your AI agent

achieve human level accuracy?

How does your AI agent

achieve human level accuracy?

Demo 1: Save new lead

CRM

0:36

Demo 2: Save meeting notes

CRM

0:49

Demo 1: Save new lead

CRM

0:36

Demo 2: Save meeting notes

CRM

0:49

Big Disillusion

While the entire industry is investing heavily in developing LLMs that beat humans in reasoning tasks, their performance when using tools still often remains far below human efficiency.

Existing integrations are

not suitable

for AI use

Data and actions are

not accessible

to AI agents

As much as

75% of the costs

goes to

filling the gaps

in digital transformation

Agents

struggle with real-world use cases

resulting in a low goal completion rate

Builders need to get involved in the

tedious

and, often

futile

process of fine-tuning the solution

Choosing integration solution

is a strategic move

Organizations can dramatically improve AI agent performance by selecting tool integration methods that align with both speed and accuracy goals, rather than relying on time-intensive or legacy approaches.

Scale AI agents to all directions.


No dev time needed

Capabilities

1 -> ∞

CRM, accounting, HR, or CX—your AI agent can learn to use any external tool by interacting with it.

Accuracy

41 % -> 86 %

Our tooling solution strives for baseline accuracy of 80%. High accuracy is achieved by utilising an operational knowledge of the target system, domain expertise and loaded context.

Dev time

12 hr -> 1 hour

After adopting AI-native stack, adding more tools takes less time than writing a Jira ticket for it.

Superface is Recognized by Gartner for our Intelligent, Autonomous Agent Capabilities

“Superface moved me three months ahead in just an hour. Now I can add any tool in 15 minutes and my users can start using it immediately — that’s real customer success.”

Prokop Simek


CEO & AI Agent Developer


DXHeroes.io

Find the integration
strategy that 

scales with you

Book a free expert session to discuss your specific needs and goals and identify most valuable opportunities & integration bottlenecks.