ENTERPRISE AI
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Accelerated superintelligence
for regulated industries
Deploy secure agents, infrastructure, and solutions entirely in your cloud.
Reduction in inference spend
Route workloads across models and providers to lower inference costs without giving up performance, control, or security.
Faster to production
Skip months of infrastructure integration and security work with production-ready AI infrastructure and workflows.
Data retention
Deploy inside your environment and keep full control of your code, data, and sensitive information.
TRUSTED BY
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CAKE OVERVIEW
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One foundation for building, running, and scaling enterprise AI
From coding agents to custom AI and ML applications, Cake gives teams the flexibility to choose the models and tools they need while maintaining control over cost, security, governance, and compliance.
CODING AGENTS
Self-hosted coding agents for regulated industries
Bring agentic engineering to your entire development team without giving up control of your code, data, infrastructure, or model choices. Cake Agents runs inside your cloud and connects to your existing SDLC, giving developers the freedom to run multiple coding sessions in parallel while accessing lower-cost inference providers.
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Cut inference costs by ~50%: Bring your own inference providers, including lower-cost open-source options. Read the case study.
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Control your data: Deploy Cake Agents inside your environment with Zero Data Retention by default and full control over sensitive information.
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Scale coding agents in parallel: Enable developers to run many agent sessions in parallel, free from laptop hardware constraints.
PLATFORM
Build, run, and govern AI on one open platform
Cake gives engineering teams a unified platform for building and operating AI systems using the open-source tools, models, and infrastructure they choose. Deploy inside your environment, compose the stack you need, and maintain centralized visibility and control as AI scales across teams and projects.
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Build with a modular, composable stack using best-in-class open-source components without locking into a proprietary ecosystem
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Enforce security and governance by default with access controls, budget policies, audit trails, and infrastructure guardrails built directly into the execution layer
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See and control AI costs in real time across models, providers, infrastructure, teams, and workloads
Solutions
Take AI from concept to production
Build and scale production use cases across data engineering, traditional machine learning, and generative AI. Cake provides the platform, agents, and services, to drive your project to success.
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Data Engineering: Build and run data pipelines, ETL/ELT workflows, data transformation, processing, and orchestration at scale
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Machine Learning: Operationalize forecasting, classification, anomaly detection, predictive analytics, and other production ML workloads
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Generative AI: Deploy coding agents, RAG, voice and customer service agents, intelligent document processing, data extraction, and other production GenAI applications
"Our partnership with Cake has been a clear strategic choice – we're achieving the impact of two to three technical hires with the equivalent investment of half an FTE."
Scott Stafford
Chief Enterprise Architect at Ping
“Bringing your own models and running in your own infra is huge. It means you can tune cost and model choice yourself as usage grows instead of having to go renegotiate with a vendor every time. There is also never any concern about controlling PII or proprietary data.”
Director of Agentic AI
Mid-Market Software Company in Regulated Industry
"With Cake we are conservatively saving at least half a million dollars purely on headcount."
CEO
InsureTech Company
CAKE USE CASES
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Powering safe AI across the regulated enterprise
Cake powers real-world AI use cases with secure, governed infrastructure that scales. Whether you're extracting data, serving LLMs, or orchestrating complex pipelines, Cake gives you the flexibility and control to build with confidence.
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Governance & infrastructure
Build and scale AI on infrastructure that abstracts complexity, enforces governance, and keeps you in control across clouds, teams, and workflows.
Enterprise RAG
Deliver fast, accurate retrieval-augmented generation (RAG) using governed infrastructure, private data connectors, and fully observable pipelines.
Voice/chatbots
Deploy conversational AI that understands your users and is backed by real-time inference, smart orchestration, and runtime policy enforcement.
Intelligent document processing (IDP)
Extract insights from unstructured documents with scalable pipelines for OCR, classification, and LLM-based summarization—all with compliance built in.
Analytics
Power advanced analytics with AI-infused data workflows that are portable, governed, and ready for real-time or batch use cases.
Data Extraction
Automate structured data extraction from PDFs, forms, and messy inputs using modular components that meet strict regulatory requirements.
SEE CAKE IN ACTION
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Build and scale AI with total control.
Accelerate every project while maintaining complete visibility, security, and compliance.
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3.9x faster deployment: Launch AI systems in record time by automating infrastructure setup, security reviews, and budget enforcement.
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Detailed cost visibility & forecasting: Gain full transparency into spend, usage, and budgets to cut $1M+ in infrastructure and vendor costs per LLM project.
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Built-in governance & compliance: Enforce access controls, policies, and spend limits across your entire AI lifecycle—automatically and by default.
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