The orchestration layer for responsible enterprise AI.
Big or small, complicated or simple. We've created a platform that can fit into whatever situation you throw at it.
A secure, compliance-ready platform that governs how AI operates inside complex organizations.
It’s not a feature, and it’s not another dashboard. It’s the system behind the system — turning AI from isolated experiments into integrated, explainable business infrastructure.
We’ve built and deployed versions of this architecture inside global enterprises. We bring it together under one platform — structured, auditable, and designed to scale without compromise.
Orchestration in action.
Our platform handles the core challenge most AI tools ignore: coordination. It connects your models, data, governance logic, and human checkpoints into one operational layer.
Ingests structured and unstructured data
PDFs, images, audio, JSON, SQL, etc.
Makes data trackable and findable
Applies tagging, filtering, and lineage tracking
Routes inputs to models or agents
Rules based on predefined use case logic.
Logs every action
From ingestion to inference to decision.
Surfaces outputs
Information and insights for the right people, with the right context, under the right permissions.
It’s not just what gets done. It’s how, why, and by whom — every time.
Enterprise AI doesn’t fail because the models are bad.
It fails because:
- No one knows who approved the output
- The data lineage is unclear
- There’s no logging or audit trail
- People stop trusting the system
Modular, extensible, and built for real environments — not controlled lab conditions.
- Role-based access
- Encrypted staging and outputs
- On-prem and air-gapped options for sensitive environments
- Compatible with cloud, hybrid, and legacy data systems
- Modular APIs for model injection, orchestration logic, and downstream tools
- Every step logged by default
- Model version control and inference traceability baked in
- Integration with internal risk and compliance workflows
- Delivered as part of full Transformation™ engagements or unlocked via Platform Plus™
- Managed through Likeable Frameworks to ensure governance from day one
Core Capabilities
Each module solves a different problem tied to AI adoption at scale.
Model Lifecycle Orchestration
Track performance, retraining needs, and handoff rules, and then tie every model to business outcomes, not just accuracy.
Compliance & Access Control
Permissions scoped to real organizational boundaries, and logs built for audits, not just internal reporting.
Ingestion & Tagging Engine
Converts messy data into usable signals, and applies Likeable’s traceability scaffolding.
Likeable Impact Dashboard™
Tracks what matters: adoption, risk reduction, return on effort, and Built for QBRs, board decks, and exec updates.
Deployment Flexibility
Works with Snowflake, Databricks, Azure, AWS, Red Hat, and delivers across hybrid, VPC, or fully isolated stacks.
What the Likeable Platform is NOT
❌ A sandbox for LLM tinkering
❌ A generic MLOps wrapper
❌ Another compliance slide in a pitch deck
❌ A black box
Who it's for
Each module solves a different problem tied to AI adoption at scale.
CIOs
Transformation leaders driving multi-million dollar mandates
CTOs
Solving for orchestration without vendor lock-in
CISOs
Who want audit logs, not promises
COOs
Managing cross-functional alignment and delivery risk
See It Live
This isn’t a demo. It’s an architecture review.
We’ll show you how your current workflows could operate on The Likeable Platform — with controls, traceability, and stakeholder visibility built in from day one.