More intelligence. Less friction.

FASTER EXECUTION.
SAME WORKLOAD.

Between the trained model and the hardware sits a deep stack of layers, each adding overhead and complexity, and taking control of execution away from you.

DELAG gives you that control back. Our solution keeps your model, your accuracy and your stack intact, while using far fewer resources.

See the resultsGet in touch
SAME MODEL
LOWER LATENCY
LOWER RESOURCE USE
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LESS OVERHEAD. MEASURED.

ONNX Runtime v1.30.0DELAG platform
Computer vision

YOLO26N

1.1×faster
Latency−10%
ONNX Runtime17.4 ms
DELAG15.6 ms
Memory−33%
ONNX Runtime34.6 MB
DELAG23.2 MB
Computer vision

MobileNetV3 Small

4.3×faster
Latency−77%
ONNX Runtime2.87 ms
DELAG0.67 ms
Memory−18%
ONNX Runtime13.7 MB
DELAG11.2 MB
Computer animation prediction

Stepper SMOE

286×faster

1.4 µs instead of 400 µs

Latency−99.65%
ONNX Runtime0.4 ms
DELAG0.0014 ms
Memory−13%
ONNX Runtime3.26 MB
DELAG2.85 MB

These are reference measurements on a standard setup. Results depend on your model and target hardware. Tell us where it needs to run, and we’ll show you what’s possible.

Get in touch

Measured on a MacBook M5 Max. Baseline: ONNX Runtime v1.30.0.

WHERE WE COME IN.

I HAVE A MODEL.
I NEED MORE PERFORMANCE.

We improve how your existing model executes across the stack, without changing the model or its accuracy.

I HAVE FIXED HARDWARE.
I NEED MORE CAPABILITY.

We reduce the resources required to run your models, creating headroom for more functionality on the hardware already in place.

I HAVE A TARGET.
I NEED TO HIT IT.

Latency, memory, power, compute or unit cost. Our solution is built around the constraint that matters to your product.

How we work

BUILT FOR ENTERPRISE.

DELAG works directly with enterprise teams to measurably improve how their trained models execute across the stack.

Our solution combines proprietary IP with deep engineering, tailored to the customer’s environment, constraints and performance targets.



BUILT AROUND YOUR ENVIRONMENT.

DELAG works with the stack and hardware you already have, rather than forcing your workload into a predefined platform or vendor ecosystem. We support PyTorch and ONNX natively and target all major silicon manufacturers: Arm, AMD, and Intel. Our approach is flexible and we are able to very quickly support custom setups or non-standard hardware.(edited)

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MODEL TRAININGFRAMEWORKS / MODEL FORMATS(PyTorch / ONNX etc.)RUNTIMESYSTEM LAYERS(Drivers, OS, etc.)HARDWARE(CPU, GPU, NPU, Edge)DELAGOPTIMIZESTHE EXISTINGEXECUTIONPATH

WHERE DELAG CREATES LEVERAGE.

01

REAL-TIME & EDGE

When latency, memory, compute and power budgets define what the product can do.
Robotics · Drones · Computer Vision · Autonomous Systems · Real-time Simulation · Embedded AI
Explore
02

VOLUME

When small inefficiencies become very large numbers.
High-volume Inference · Recommendation Systems · Ad Serving · Search & Ranking · Large-scale ML Services
Explore
03

ENTERPRISE ML EXECUTION

When the model is ready, but the standard runtime path is leaving performance on the table.
PyTorch · ONNX models · Runtime Replacement · Production Inference · Selected Target Platforms
Explore
04

SPECIAL OPS

For the cases that don’t fit the box.
Unusual hardware · Unusual stacks · Unusual constraints
Describe your case

TRUSTED WITH THE HARD PARTS.

We work directly with enterprise teams on complex execution challenges. What we find inside their systems stays with them.

WE REMOVE WHAT
SLOWS YOU DOWN.

Get in touch
Use Cases

WHERE DELAG
CREATES LEVERAGE.

01

REAL-TIME & EDGE

When latency, memory, compute and power budgets define what the product can do.
Robotics · Drones · Computer Vision · Autonomous Systems · Real-time Simulation · Embedded AI

For workloads running close to the sensor, device or control loop, execution efficiency directly affects responsiveness, memory footprint and how much capability the hardware can support. DELAG optimizes the post-training execution path to make better use of the target environment.

Get in touch
02

VOLUME

When small inefficiencies become very large numbers.
High-volume Inference · Recommendation Systems · Ad Serving · Search & Ranking · Large-scale ML Services

At scale, even small reductions in latency, memory use or compute per request can translate into significant infrastructure savings. DELAG improves execution efficiency where workloads run continuously, across large fleets or at very high request volumes.

Get in touch
03

ENTERPRISE ML EXECUTION

When the model is ready, but the standard runtime path is leaving performance on the table.
PyTorch · ONNX models · Runtime Replacement · Production Inference · Selected Target Platforms

KEEP THE MODEL. REPLACE THE BOTTLENECK.

DELAG can take a trained model, including ONNX-based workflows, and replace the conventional runtime path with a more efficient execution path on selected platforms. The model and its accuracy remain unchanged.

Get in touch
04

SPECIAL OPS

For the cases that don’t fit the box.
Unusual hardware · Unusual stacks · Unusual constraints

DELAG combines proprietary IP with deep engineering around the specific case.

Describe your case

WHAT TRIGGERS THE CALL.

PERFORMANCE & LATENCY

Cut execution time where speed is the binding constraint.

MEMORY & FOOTPRINT

Reduce runtime and software overhead where memory is scarce or expensive.

HARDWARE COST

Reach the required performance on cheaper hardware, or create headroom on what is already deployed.

CLOUD ECONOMICS

Reduce compute consumption where small inefficiencies scale into significant operating cost.

PORTABILITY & DEPLOYMENT

Improve how models move across target environments and reduce friction in the path to production.

MORE CAPABILITY

Fit more ML functionality onto the same platform without changing the trained model.

Special Ops

FOR THE CASES
THAT DON’T FIT THE BOX.

Some problems don’t follow the standard path. A constrained chipset. An unusual deployment environment. A stack that has grown too complex. Or simply a use case that doesn’t map neatly to an existing category.

Special Ops is where DELAG brings proprietary IP and deep engineering together around the specific problem in front of us.

Swipe to explore

THE IP

DELAG’s proprietary technology, applied to the specific environment and constraint.

THE PEOPLE

Direct access to the engineers building the technology, not a generic delivery team.

THE BESPOKE WORK

Where the standard path stops, we engineer what the case requires.

HOW IT WORKS.

01

SCOPE

Understand the target, the constraint and what success looks like.

02

ASSESS

Establish what is achievable and where DELAG can create meaningful leverage.

03

BUILD

Apply proprietary IP and bespoke engineering against the real environment and baseline.

Special Ops engagements
are deliberately limited.

We take on a small number of cases at a time, where the problem is hard enough and the potential impact large enough to justify deep access from the core team.

Narrow scope. Deep access.
Describe the problem
Company

QUIET BY
DESIGN.

DELAG is built for work that matters more than the noise around it. We work directly with enterprise teams on complex execution challenges, using proprietary IP and deep engineering to improve performance, memory efficiency and resource use across the stack.

HOW WE THINK.

These principles guide how we build, how we work with customers and what we focus on.

01

LESS,
BUT BETTER.

We remove unnecessary complexity wherever we find it. In software, in systems and in how we work.

02

MEASURE
WHAT MATTERS.

Performance claims mean very little without a baseline. We prefer numbers, context and repeatable results.

03

KEEP WHAT
ALREADY WORKS.

A customer has already invested heavily in models, systems and infrastructure. We improve execution without creating change for the sake of change.

04

DEEP
OVER WIDE.

We would rather understand one problem properly than pretend to solve every problem superficially.

05

QUIET
CONFIDENCE.

The work should speak louder than the marketing. We say what we can prove and keep the rest between us and the customer.

FOUNDERS.

Søren Dandanell Nielsen

CEO
Founder and CEO, focused on strategy, commercial development and enterprise partnerships.
Email

Calle Lejdfors

CTO
Founder and CTO, focused on the core technology, execution architecture and engineering direction.
Email

Martin Gram

CPO
Founder and CPO, focused on product direction, customer use cases and turning DELAG technology into real-world value.
Email
Where we are

MALMÖ, SWEDEN.

DELAG is headquartered in Malmö, with access to a strong European engineering ecosystem and close links across the region.

Get in touch
Contact

START A
CONVERSATION.

Tell us what you are trying to improve, what constraints you are working within, or where your current execution stack is getting in the way.

NDA first? No problem.
We are happy to put one in place before going into technical detail.
Our locationMalmö, Sweden
Get in touchhello@delag.com