Announcing BlackBird Enterprise: Structurally Private AI on Your Devices and Cloud

Today, we’re excited to introduce BlackBird Enterprise™ by Decompute — an enterprise AI platform that runs where your data already lives: on Windows, Linux, macOS devices and DGX, in your on‑prem cloud, or in your own third‑party cloud accounts.

At the core of BlackBird Enterprise is Echelon™, our structural‑privacy engine. Echelon doesn’t just “respect your policies” — it understands your data boundaries and shards models accordingly across your resources, so those boundaries are enforced architecturally.

The result:

• Up to 70% lower AI adaptation cost

• Guaranteed structural privacy aligned with your compliance requirements

• Performance that beats DeepSpeed on Azure in our internal benchmarks

• And no data ever sent to Decompute or used to train our models

  
  

Why We Built BlackBird Enterprise

Enterprises want the power of modern AI, but they’re stuck between bad choices:

• Ship sensitive data to a shared SaaS endpoint and hope for the best

• Build a bespoke on‑prem stack, then struggle with cost, ops, and safety

• Or limit AI adoption to a few low‑risk use cases and never see real impact

  
  

We built BlackBird Enterprise to change that equation:

• On‑device and on‑prem first: AI runs on your devices, your clusters, your cloud.

• Structural privacy by design: Privacy isn’t a checkbox; it’s part of the system graph.

• Guard‑railed by default: Safety, hallucination checks, and policy enforcement are built in, not bolted on.

  
  

Run AI Wherever Your Data Lives

BlackBird Enterprise lets you deploy powerful models to:

• On‑device (Windows, Linux, macOS)

  • Local copilots, dev tools, and domain assistants running directly on laptops, workstations, or edge devices.

• On‑prem cloud / data centers

  • Private clouds, Kubernetes clusters, and GPU farms — including NVIDIA DGX setups — under your control.

• Your third‑party cloud accounts

  • AWS, Azure, GCP, or regional providers inside your VPC or tenant, not a shared multi‑tenant SaaS.

    
    

No matter where you run BlackBird, the guarantees stay the same:your data doesn’t leave your environment, isn’t sent to Decompute, and is never used to train our models.

Echelon™: Structural Privacy, Automatically Maintained

At the heart of BlackBird Enterprise is Echelon™, our trademarked structural‑privacy engine inspired by our research on privacy as an architectural property.

Echelon does three critical things:

1. Understands Your Data Boundaries

You define your boundaries — for example:

• Tenants and customers

• Business units or teams

• Regions and data residency zones

• Sensitivity tiers or compliance domains

Echelon treats those as first‑class constraints in the system. It knows which data belongs where, which services can see what, and which interactions are allowed.

2. Shards Models Accordingly Across Your Resources

Echelon then shards and schedules models across your devices, clusters, and clouds in a way that respects those boundaries by construction:

• No cross‑tenant mixing of state or intermediate representations

• No cross‑region shortcuts that violate residency rules

• No “oops, this embedding store is shared by everyone” surprises

The way models are sliced, placed, and executed is always aligned with your privacy graph.

3. Guarantees Structural Privacy

Because Echelon builds privacy into the structure of the system, your guarantees are stronger than “we promise not to leak”:

• Execution paths are constrained so data from one boundary cannot be accessed by another.

• Observability and telemetry are boundary‑aware, so even logs and metrics respect the same rules.

• Compliance teams can reason about where data can and cannot flow in a concrete, audit‑able way.

In other words: Echelon automatically maintains structural privacy, so your architecture enforces what your policies require.

On‑Device Intelligence Over Your Real Work

BlackBird Enterprise isn’t just about where models run — it’s about what they can do with your real, messy enterprise content.

Private RAG & Knowledge Bases

Run Retrieval‑Augmented Generation (RAG) fully on‑device or on‑prem:

• Build knowledge bases from files and folders, internal wikis, Confluence spaces, and Google‑connected content.

• Indexing and retrieval happen inside your environment, under Echelon’s structural privacy guarantees.

• Answer questions with citations back to your documents, not generic internet guesses.

  
  

Vision‑Enabled Document Understanding

BlackBird’s vision stack works with:

• PowerPoint presentations

• Excel spreadsheets and complex sheets

• Info‑graphics, dashboards, graphs, tables, and charts

Ask questions like:

• “Summarize this board deck for the leadership team.”

• “Compare these three spreadsheets and highlight anomalies.”

• “Explain what changed between these two charts.”

All of that analysis happens locally, on your devices, on‑prem infrastructure, or your own cloud accounts.

On‑Prem / On‑Device Adaptation

You can adapt models to your own data and domain while keeping everything inside your boundaries:

• Fine‑tune on legal, financial, healthcare, or proprietary technical data.

• Run training and adaptation jobs on your GPUs — whether that’s a laptop or a DGX cluster.

• Keep your training data and adaptation artifacts completely in your environment.

  
  

Web‑Connected, Without Data Leakage

Enterprises often need web‑scale context and strict privacy. BlackBird Enterprise is designed for exactly that.

• Echelon connects to the web for live research, news, and background.

• Your internal documents, embeddings, and knowledge bases are never sent to web services.

• Instead, BlackBird pulls public web content into your environment and safely combines it with your local knowledge.

  
  

You can automatically generate deep research reports that:

• Blend internal data with external sources

• Include citations and evidence

• Preserve structural privacy end‑to‑end

  
  

Guard‑Railing by Decompute

To keep all of this safe, BlackBird Enterprise integrates guard-railing, our real‑time guard‑railing layer.

Hallucination Checks & Accuracy

• Real‑time hallucination detection on model outputs

• Responses must be grounded in your knowledge bases or vetted web sources

• Source citations are surfaced to the user to support trust and verification

  
  

Jailbreak & Prompt Injection Protection

• Detects and blocks jailbreak attempts and prompt injection attacks before they reach your models

• Protects system prompts, tools, and internal policies from being exfiltrated or overridden

• Handles attacks hidden inside documents, prompts, or retrieved web content

  
  

Unsafe Content Detection (15+ Categories)

• Monitors both user inputs and model outputs across 15+ content categories (e.g., hate, self‑harm, violence, sensitive PII)

• Lets you block, redact, or escalate based on your organizational policies

  
  

Sensitive Terminology Monitoring

• Monitors sensitive terminology across prompts and responses

• Detects critical legal, regulatory, or code‑name terms for added oversight and alerting

• Gives compliance teams another control point over how AI is used day‑to‑day

  
  

Better Economics Than DeepSpeed on Azure

BlackBird Enterprise isn’t just safer — it’s more efficient.

In our internal benchmarks, our Echelon‑powered stack:

• Delivers up to 70% lower AI adaptation costs compared to comparable DeepSpeed‑on‑Azure setups

• Improves throughput and utilization for adaptation workloads

• Maintains the same structural privacy guarantees for both training and serving

You get better economics and stronger guarantees — without having to choose.

Who BlackBird Enterprise Is For

BlackBird Enterprise is built for organizations that can’t compromise on privacy, control, or cost:

• Financial services, healthcare, and public sector

• Global enterprises with strict data residency and sovereignty requirements

• R&D‑heavy organizations with sensitive IP and proprietary research

• Any team that wants to move beyond pilots and bring AI into real, critical workflows

  
  

What’s Next

BlackBird Enterprise is available today for on‑device (Windows, Linux, macOS), on‑prem, and private cloud deployments.

If you’re interested in:

• Running AI where your data lives

• Enforcing structural privacy instead of relying on best‑effort policies

• And doing it at a fraction of the cost of traditional cloud‑only setups

we’d love to show you what BlackBird Enterprise can do in your environment.

Get in touch to schedule a demo or pilot: hina@decompute.run