Accelerators

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.

How It Works

From discovery to deployment in six simple steps

Discover

Browse, filter, and compare accelerator SKUs

Customise

Extend via UI builder, SDK, or GitHub : no lock-in

Pilot

One-click launch in the TFY platform or local workspace

Deploy & Scale

Secure, monitored deployment via TFY AI Gateway

Integrate

Connect with your data, workflows, APIs using built-in connectors

Monitor & Enhance

Built-in dashboards, CI/CD, retraining, and marketplace for upgrades

Real Outcomes at TrueFoundry

Why Enterprises Choose TrueFoundry

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

Pratik Agrawal

Sr. Director, Data Science & AI Innovation

TrueFoundry helped us move from experimentation to production in record time. What would've taken over a year was done in months - with better dev adoption.

40-60%

Cloud Cost Savings than Sagemaker

3

Months for K8s migration of ML projects (Down from 1.5yrs before)

Vibhas Gejji

Staff ML Engineer

We cut DevOps burden and simplified production rollouts across teams. TrueFoundry accelerated ML delivery with infra that scales from experiments to robust services.

35%

Cloud Cost Savings Compared to Sagemaker bill incurred earlier

90%

DevOps time saving spent in managing different components, building and
maintaining isolated stacks

Indroneel G.

Founder, Applied AI Lab

TrueFoundry helped us deploy a full RAG stack - including pipelines, vector DBs, APIs, and UI—twice as fast with full control over self-hosted infrastructure.

$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

Nilav Ghosh

Senior Director, AI

With TrueFoundry, we reduced deployment timelines by over half and lowered infrastructure overhead through a unified MLOps interface—accelerating value delivery.

$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

Rajat Bansal

CTO

We saved big on infra costs and cut DS coordination time by 75%. TrueFoundry boosted our model deployment velocity across teams.

Frequently asked questions

What are Solution Accelerators, and how do they differ from TrueFoundry's core platform?

Solution Accelerators are productized, reusable application starters that ship with proven architecture, built-in compliance, and operational best practices. While TrueFoundry's platform provides the infrastructure for AI/ML, accelerators give you complete, configurable templates that compile into platform-native manifests—letting you go from idea to governed demo in hours, not months.

Can I customize accelerators for my specific use case, or am I locked into pre-built functionality?

Accelerators are designed as configurable templates, not black boxes. You can adapt business logic, swap models, modify UI components, and integrate with your existing data sources and tools. The underlying architecture and governance remain consistent while giving you full control over the application layer.

How quickly can I get an accelerator demo running?

Most accelerators can be launched as live demos within 48 hours. This includes the Deep Research accelerator for sales intelligence, OCR for document processing, Intent Classifier for routing, and our Scheduling Agent for healthcare and customer service use cases.

Do accelerators run on the same TrueFoundry infrastructure as my other AI workloads?

Yes, accelerators leverage TrueFoundry's AI Gateway, RBAC controls, observability stack, and cost monitoring. They're deployed through the same Kubernetes-native platform with consistent security, scaling, and governance across all your AI applications.

Can accelerators work with multiple models and avoid vendor lock-in?

Absolutely. Accelerators use TrueFoundry's AI Gateway to route calls across multiple LLM providers (OpenAI, Anthropic, self-hosted models) with unified authentication, monitoring, and cost controls. You can switch models or use different providers for different components without code changes.

How do accelerators handle compliance requirements like HIPAA, GDPR, or industry-specific regulations?

Every accelerator ships with configurable compliance postures including PII redaction (standard/strict), data residency controls (global/regional/EU-only), RBAC enforcement, and audit trails. For healthcare use cases, our Scheduling Agent includes specific HIPAA compliance features and consent management.

Can I deploy accelerators fully on-premises or in air-gapped environments?

Yes, accelerators work in fully disconnected environments. They compile to standard Kubernetes manifests and Docker images that can be deployed without external dependencies. All models, configs, and dependencies are packaged for air-gapped deployment.

What observability and cost controls do I get with accelerators?

Accelerators inherit TrueFoundry's full observability stack: structured logging, distributed tracing, RED metrics (requests, errors, duration), and real-time cost monitoring. Each accelerator reports its own SLO targets (e.g., p95 latency ≤ 3s for Deep Research, ≤ 100ms for Intent Classifier) with automated alerting on breaches.

How do I manage versions and updates for accelerators in production?

Accelerators use semantic versioning with immutable releases. Each version includes git commit provenance, container digests, and dependency manifests. Updates deploy through blue-green or canary strategies with automatic rollback on SLO violations or error rate spikes.

How are secrets and API keys managed across accelerators?

All secrets are managed through TrueFoundry's integration with HashiCorp Vault, AWS Secrets Manager, or Kubernetes secrets. No credentials are stored in code or configs. API keys for external services (CRM, calendar providers, document stores) are rotated automatically and scoped per accelerator.

Can I enforce different access controls for different accelerators?

Yes, each accelerator supports fine-grained RBAC with roles like viewer (demo access), operator (run/configure), and admin (deploy/manage). You can restrict access by persona, business unit, or compliance requirements while maintaining consistent audit trails.

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