Blackbird AI - Enterprise AI Without Vendor Lock-In

Blackbird is an AI orchestration platform built around a simple principle: you should be able to use the AI models that best fit your business, security requirements, governance policies, and budget—not the models a platform vendor chooses for you.

Bring Your Own AI

Blackbird’s Bring Your Own AI approach gives organizations complete freedom to connect, orchestrate, and govern AI services from virtually any provider.

Whether you are using commercial foundation models, enterprise AI platforms, AI aggregators, open-source models, or proprietary models hosted in private environments, Blackbird acts as the orchestration layer that connects everything into automated business processes.

Supported AI Providers and Services

Blackbird provides native integrations with a broad ecosystem of AI, language technology, speech, and content intelligence providers, including:

In addition, Blackbird can connect to virtually any AI service through APIs, custom endpoints, enterprise AI gateways, and private deployments.

Connect AI Your Way

Organizations can connect AI services using the authentication and deployment model that best fits their infrastructure and governance requirements.

Supported approaches include:

API keys
OAuth authentication
Azure-native deployments
Azure AI Foundry
AWS Bedrock
Enterprise AI gateways
AI aggregation platforms such as Intento and Phrase Language AI
Custom API endpoints
Self-hosted AI services
Private and fine-tuned models
Models deployed behind corporate firewalls

This flexibility allows enterprises to maintain full control over security, compliance, procurement, and data residency requirements.

Full Control Over Prompts and Model Behavior

Blackbird does not hide AI behind a black box.

Users maintain complete control over:

System prompts
User prompts
Dynamic prompt generation
Context injection
Variables and workflow data
Model parameters
Temperature and creativity settings
Vendor-specific options and controls

This enables organizations to create transparent, repeatable, and auditable AI-powered business processes tailored to their specific requirements.

Built for Language and Content Workflows

Unlike generic AI platforms, Blackbird’s AI applications are designed to understand structured language and content formats natively.

Supported formats include:

XLIFF 2.2
Microsoft Word (.docx)
Microsoft PowerPoint (.pptx)
Gettext (.po)
XML
JSON
HTML
And many other industry-standard content formats

By preserving document structure, metadata, segmentation, and localization context, Blackbird enables AI workflows that are significantly more reliable for translation, localization, content creation, review, and quality assurance use cases.

No AI Markups or Hidden Fees

Blackbird does not resell AI consumption. There are no surcharges, markups, commissions, hidden fees, or token taxes added to your AI usage.

Organizations maintain direct commercial relationships with their AI providers and pay providers according to their own pricing models. This provides:

Full pricing transparency
Freedom from vendor lock-in
Direct enterprise agreements with AI vendors
Accurate cost allocation and chargeback
Flexibility to switch providers at any time

Blackbird’s role is to orchestrate AI-powered workflows—not to profit from AI consumption.

Complete Observability Through Flights

Every process executed in Blackbird—called a Flight—creates a complete execution record.

Flights capture:

Workflow inputs
Workflow outputs
Intermediate processing steps
Prompt inputs
AI responses
Execution metadata
Timestamps
Performance metrics
Model information
Provider information

This creates a comprehensive audit trail for every AI-assisted business process.

AI Usage Tracking and Cost Visibility

Where supported by the provider, Blackbird captures AI usage metadata, including:

Token consumption
Input token counts
Output token counts
Model versions
Request identifiers
Processing times
Vendor-specific usage metrics

This enables organizations to monitor usage, allocate costs, optimize workflows, and measure AI ROI.

Open Access to Operational Data

Flight metadata can be exported through Blackbird APIs and integrated into external systems such as:

Data warehouses
Business intelligence platforms
Reporting tools
Cost management systems
Governance platforms
Custom databases
Analytics environments

Organizations retain full ownership and control of their operational and AI consumption data.

Blacklake: Provenance and AI Governance

Flight records and associated metadata can also be stored in Blacklake, Blackbird’s provenance and governance layer.

Blacklake enables organizations to maintain:

End-to-end provenance
Auditability
Compliance records
Operational governance
AI governance
Accountability
Historical execution records

This provides a trusted system of record for both human-driven and AI-driven business processes.

Enterprise AI on Your Terms

Blackbird gives organizations the flexibility to choose any model, any provider, any deployment architecture, and any authentication method—while maintaining complete control over prompts, workflows, governance, security, and costs.

The result is an AI orchestration platform that maximizes flexibility, transparency, observability, and control while eliminating vendor lock-in.