On-Premises BI Meets Private AI Open Source BI Helical Insight Enables Self-Hosted LLM Analytics
                     On-Premises BI Meets Private AI: Open
Source BI Helical Insight Enables Self-
Hosted LLM Analytics
New  capability  lets  security-conscious  organizations  ask  questions  of  their
data in plain English while keeping every step on their own infrastructure,
including self hosted AI models
HYDERABAD,  India,  October  20,  2026 –  Organizations  that  handle  patient  records,
financial  transactions  or  restricted  information  have  been  cautious  about  AI-powered
analytics, and for good reason. Helical Insight, an open-source BI platform that get’s installed
on-premises, now supports locally hosted language models, including those served through
Ollama, so teams can adopt conversational analytics without handing data to an outside AI
service.
The problem: AI that sends data elsewhere
Conversational BI works by passing a user’s question, schema details and sometimes result
data to a language model. If that model is run by an external provider, the information travels
beyond the company’s walls. For regulated sectors, that raises concerns about privacy, data
residency and audit readiness.
The solution: bring your own model
Helical Insight’s AI analytics module lets customers choose and host their own model. Paired
with an on-premises installation, the full path from question to answer can stay within the
organization’s network.
Key facts
 Works with self-hosted models, including Ollama running on CPU or GPU servers
 Installs  on-premises,  in  private  cloud  or  in  hybrid  setups,  including  Docker and
Kubernetes
 Role-based  access,  row-level  security,  SSO and multi-tenancy  for  controlled  data
access
 AI semantic layer for consistent business definitions
 Dashboards, paginated reports and embedded analytics in the same platform
 Full-featured Community Edition with source code on GitHub, so security teams can
inspect it
“Our users in healthcare, finance and public-sector environments told us the same thing: they
want  flexibility  of  AI  analytics,  but  the  data  cannot  leave,”  said  Nikhilesh  Tiwari,  Co-
founder, Helical Insight. “With a local model and an on-premises platform, they no longer
have to choose between modern analytics and their security requirements.”
Security remains a shared responsibility
Helical Insight advises customers to pair local AI with sound controls: read-only database
accounts, row-level permissions, encrypted logs with defined retention, and testing against
prompt injection. 
Getting started
Teams can download the platform at  helicalinsight.com/register, and get started. Required
document and videos are present on the website. Community version can be download from
github.
About Helical Insight
Helical Insight is an open-source business intelligence and embedded analytics platform with
AI-assisted  analytics,  self-service  BI,  pixel-perfect  reporting  and  a  framework  driven  by
APIs.  Organizations  use  it  on-premises,  in  the  cloud  or  in  hybrid  environments.  Visit
www.helicalinsight.com.
Media Contact 
Nikhilesh Tiwari
[email protected] 
https://www.helicalinsight.com/