.png)
September 25, 2025
|
5 min read
Accelerate Enterprise AI Deploy, Customise, Innovate - Instantly
TrueFoundry Accelerators deliver modular ready to use AI applications and solutions for every business domain. Go from idea to production in days, not months.
Why choose TrueFoundry Accelerators
Plug-and-Play AI/ML Apps
Ready-to-deploy AI applications that integrate seamlessly with your existing infrastructure.
Enterprise Integration
Kubernetes, RBAC, compliance features built-in for enterprise security standards.
Rapid Customization
Templates, SDKs, and UI builders for quick adaptation to your specific needs.
Open Community & Marketplace
Access thousands of community-contributed modules and connectors.
End-to-End Observability
Complete monitoring, governance, and performance tracking for your AI applications.
Scalable Infrastructure
Auto-scaling, load balancing, and resource optimization for enterprise workloads.
Featured Accelerators
Enterprise-ready AI solutions that transform your business operations
Coming Soon
Automated Metadata Management
Enterprise research and synthesis, powered by coordinated AI agents.
Coming Soon
Sales RepCo
Query on your structured(postgres) and unstructured(pdf documents) data in few click.
Coming Soon
Fraud Detection Pipeline
Enterprise research and synthesis, powered by coordinated AI agents.
How It Works
From discovery to deployment in six simple steps
Browse, filter, and compare accelerator SKUs
Extend via UI builder, SDK, or GitHub : no lock-in
One-click launch in the TFY platform or local workspace
Secure, monitored deployment via TFY AI Gateway
Connect with your data, workflows, APIs using built-in connectors
Built-in dashboards, CI/CD, retraining, and marketplace for upgrades
.svg)
Real Outcomes at TrueFoundry
Why Enterprises Choose TrueFoundry
.png)
90%
Lesser Time to Value through Self Independence of Data Science teams
~40-50%
Effective Cost reduction across dev environments
Aaron Erickson
Founder, Applied AI Lab
TrueFoundry turned our GPU fleet into an autonomous, self‑optimizing engine - driving 80 % more utilization and saving us millions in idle compute.
>$10 Mn+
Massive Impact through 20+ RAG based use cases within a year
90%
Lesser Time to Value through delivery and Self Independence of Data Science teams
Aaron Erickson
Founder, Applied AI Lab
TrueFoundry turned our GPU fleet into an autonomous, self‑optimizing engine - driving 80 % more utilization and saving us millions in idle compute.
40-60%
Cloud Cost Savings than Sagemaker
3
Months for K8s migration of ML projects (Down from 1.5yrs before)
Aaron Erickson
Founder, Applied AI Lab
TrueFoundry turned our GPU fleet into an autonomous, self‑optimizing engine - driving 80 % more utilization and saving us millions in idle compute.
35%
Cloud Cost Savings Compared to Sagemaker bill incurred earlier
90%
DevOps time saving spent in managing different components, building and
maintaining isolated stacks
Aaron Erickson
Founder, Applied AI Lab
TrueFoundry turned our GPU fleet into an autonomous, self‑optimizing engine - driving 80 % more utilization and saving us millions in idle compute.
$30-40k
Cost Savings on each pilot release through cost optimizations provided by platform
Was able to seamless scale to required throughput without external team’s help
Aaron Erickson
Founder, Applied AI Lab
TrueFoundry turned our GPU fleet into an autonomous, self‑optimizing engine - driving 80 % more utilization and saving us millions in idle compute.
$30-40k
Cost Savings on each pilot release through cost optimizations provided by platform
Was able to seamless scale to required throughput without external team’s help
Aaron Erickson
Founder, Applied AI Lab
TrueFoundry turned our GPU fleet into an autonomous, self‑optimizing engine - driving 80 % more utilization and saving us millions in idle compute.
Frequently asked questions
Can TrueFoundry run fully on-prem (including air-gapped)? What data (if any) leaves our environment?
AI observability helps teams monitor, debug, and optimize AI systems by providing visibility into model behavior, workflows, and decisions. It's critical for reliable performance in production environments.
What do you deploy into bare metal, VMs, Kubernetes, OpenShift?
Agent observability captures detailed traces of how agents operate—tracking LLM calls, tool usage, and decision logic—to provide a complete view of autonomous workflows.
How are security, governance, and audit handled on-prem?
Agent tracing shows how a request flows through multiple agents, capturing interactions, decisions, and execution steps. This is key for debugging multi-agent systems and ensuring they behave as expected.
What observability and cost controls do we get for on-prem LLM traffic?
Yes. It’s fully compatible with LangChain, LlamaIndex, CrewAI, and Agno—supporting agent observability across all major frameworks.
How do upgrades work if we’re disconnected/air-gapped?
Absolutely. This system is built on OpenTelemetry and supports any compatible SDK. It
gives you vendor-neutral, scalable observability with rich AI-specific context.
gives you vendor-neutral, scalable observability with rich AI-specific context.
Can we avoid lock-in and still use multiple models/runtimes?
Every LLM span can include metadata such as model name, token count, temperature, and completion time—enabling cost and performance insights as part of your AI observability stack.
- © 2022 ENSEMBLE Technologies
Subscribe to our newsletter
The latest news, articles, and resources sent to your inbox
© 2025 All rights reserved.
