Build AI systems without the lock-in.

Connect knowledge, models, agents and tools in one system. Bring your own models, deploy your way, and trace every execution.

01The shift

AI is becoming a system.

The model was only the beginning.

01 / 06Expansion

Knowledge lives somewhere.
Models live somewhere else.
Tools live somewhere else.
Context gets rebuilt.
Execution gets harder to understand.
And every new capability adds another layer to manage.

Operator loadLive

Systems to operate

00

02THE OPERATOR'S DILEMMA

You didn't build all this complexity to become its operator.

One model for one task. A database for another. A framework for your agents. APIs and tools stitched around them. Logs somewhere else. Evaluations somewhere else.

Model
Database
Agent framework
Tool APIs
Context
Logs
Evaluation
Deployment

And when something goes wrong, you start reconstructing what happened from fragmented logs.

03Resolution

The intelligence is advancing.

The infrastructure around it is still fragmented.

AI shouldn't require you to assemble the infrastructure around it by hand.

04UNIFIED RUNTIME

Bring the system together.

Obliq gives your AI applications one place to connect knowledge, models, agents and tools—and one system to understand what happens when they run.

04UNIFIED RUNTIME

Bring the system together.

01 · KNOW14 Sources Verified

Unified Context Engine

Ingest, normalize, and ground live knowledge across enterprise documents, databases, and APIs without manual vector plumbing.

04One runtime

One place to connect it.

One system to understand what happens when it runs.

05KNOWLEDGE LAYER

Give AI the context it needs.

Connect the information your systems depend on. Keep it organized, current and traceable.

Pipeline inspector01 / 06

Source

PDFs, URLs, PostgreSQL, Notion, GitHub and APIs connect as live sources with authority metadata.

PDFsURLsPostgreSQLNotionGitHubAPIs

05Knowledge Health Inspector

Knowledge shouldn't just exist. It should be understood.

Knowledge healthIllustrative

06AGENT RUNTIME

Build intelligence around the work.

Define what your agents know, how they reason, what they can access and what they are allowed to do.

Enterprise Research & Dispatch Agentv2.4.1

07MODEL NEUTRALITY

The model is a component. Not your architecture.

Models change. Your system shouldn't have to.

Same task · four modelsIllustrative

ModelQualityLatencyGrounded

Recommended forComplex Multi-Step Tool Reasoning

Can I use my own models or private endpoints?+

Obliq is designed to be model-agnostic. Route tasks across leading frontier providers, open-source model weights, or private endpoints deployed in your own infrastructure through a common runtime.

Illustrative sample data representative of the product interface.

08ACTION LAYER

Give intelligence somewhere to go.

AI becomes useful when it can interact with the systems your business already runs on.

Action path01 / 05

Agent
Plans the next step against its instructions, scoped tools and policy.
Tool
MCP · API · Webhook · Function
System
Result

MCP

API

Webhook

Function

Does Obliq support the Model Context Protocol (MCP)?+

Yes. Obliq provides native support for MCP servers, allowing agents to securely discover and invoke tools, databases, and enterprise services through an open, unified interface.

09PRODUCT PROOF CLIMAX

When AI makes a decision, you should be able to see why.

Every execution leaves a trail. Step inside what your system actually did.

exec_9f81a7d4COMPLETED · 1,240ms · $0.0041

Stepms

What is AI agent observability and execution tracing?+

AI agent observability is the ability to inspect every discrete step an AI system takes—from raw user input and context retrieval to model inference, tool execution, and returned outputs—with full latency, token cost, and grounding attribution.

10Replay

Don't just watch an execution. Run it again.

Change the model. Change the instructions. Change the context. See what changes.

The fastest way to understand an AI system is to make it repeatable.

Replay consoleIllustrative

Swap the inference model

Metric	Original	Replay
Latency	1,240ms	835ms
Cost	$0.0041	$0.0012
Groundedness	99.4%	96.8%

Same ticket created; summary omits one SLA exclusion clause.

11SYSTEM TELEMETRY

Measure the system, not just the answer.

A response can look right and still come from the wrong source, take too long, cost too much or fail the next time.

EvaluationIllustrative

Groundedness

98.7%

+1.4% / 30d

Response strictly derived from verified source docs

Illustrative sample data representative of the product interface.

12COMPOUNDING LOOP

Every execution should teach you something.

Your AI system should compound.

Compounding loopCycle 01

01 Executions
Live production runs logged with full trace telemetry
02 Observations
03 Insights
04 Optimization
05 Improvement

Patterns surfaced

Recurring failures
Knowledge gaps
Expensive paths
Slow paths
Weak model choices

13ARCHITECTURAL INDEPENDENCE

Whatever comes next, your system stays yours.

New model. New provider. New protocol. New tool. Your architecture shouldn't need to start over.

Swap logCore unchanged

ModelModel AModel B
ProviderProvider APrivate endpoint
ProtocolRESTMCP
ToolCRM v1CRM v2

No Vendor Lock-in
Portability by Design
Future-Proof Layer

14PRODUCTION ASSURANCE

Built for now. Ready for production.

Security, governance, and deployment controls engineered for serious engineering teams.

ControlsGovernance

Bring Your Own Key (BYOK)
Maintain direct billing relationships and credential control with model providers
Data Isolation
Isolated tenant partitions; no cross-workspace leakage
Audit Logs
Inspectable ledger of every tool invocation and agent decision
API & MCP Access
Programmatic control plane with native Model Context Protocol support

Infrastructure for AI systems.

Build what comes next.

Build with Obliq Talk to Engineering

Built by Basalt Labs

TECHNICAL CLARITY

Questions worth answering before you build.

Clear answers to the architectural decisions technical teams evaluate first.

Your data stays under your control. When using your own API keys (BYOK), prompts are transmitted directly to the specified model provider without intermediate model retraining. Obliq stores execution traces, knowledge indices, and telemetry in your isolated tenant environment with zero data leakage across workspaces.