Building Market-Leading AI Software Roadmaps
AI-Native. New Revenues. Vision 2030.
Explore
Match use cases to core product challenges and market trends
Security
Efficiency
Speed
Accuracy
Status:
Updating:
Strategize
Data-driven assessment: prioritize use cases that deliver the biggest impact for your effort.
class Sampling(layers.Layer):
"""Uses (mean, log_var) to sample z, the vector encoding a digit."""
def call(self, inputs):
mean, log_var = inputs
batch = tf.shape(mean)[0]
dim = tf.shape(mean)[1]
return mean + tf.exp(0.5 * log_var) * epsilon
Execute
Transform ideas into robust, production-ready AI features.
Ready- to-Deploy AI Systems for Enterprise Software
Proven Usefulness. Fast Deployment. Short-term Revenues.
Central Orchestration Agent
The AI brain of your product. It catches every request and instantly routes it to the right specialist agent so users get the exact action they need, not another generic answer.
Level 1 Support Agents
This Agent clears the queue of repetitive tickets, solves issues in seconds, and only hands over what truly needs a human. While it lightens the workload of your support team, it will help your users leverage your software fully.
Business Intelligence Agents
Allow your power-user to access their data through natural language. Our agent helps to find and interpret data points to help managers make better decisions. Another step towards the most powerful user experience.
Client Data Transfer
An AI‑driven migration assistant that moves new customers off legacy or competitor tools with minimal friction. It cleans, maps, and validates data automatically so your users go live faster and with full confidence.
[FAQ]
Frequently asked questions
Who is Rakam built for?
How does Rakam fit into our existing dev stack?
Do we need an internal AI team?