ENGINEERING

Put AI to work.
Keep control.

Private AI, connected workflows and secure systems. Built around your data, your infrastructure and your requirements.

Discuss your use casehello@capacity.at
SYSTEM ARCHITECTURE / 01
Your infrastructure
Your dataDocuments · databases · tools
01
Approved connections
Your modelsSelected for your workload
02
Bounded actions
Your permissionsAccess · budgets · oversight
03
+ Built around your requirements, at every layer.

01 / WHAT WE DO

Engineering for the work ahead.

Private AI & agents

Connect AI to the knowledge and tools your team uses. Define where data is processed and which actions an agent can take.

  • Internal assistants & data connections
  • Private deployment & controlled tool access
  • Workflow evaluation & integration
Agent controls in Pocketmon.ai

Model optimisation

Find the right model for your workload and hardware. Measure the trade-offs in quality, latency, memory and operating cost.

  • Model selection & evaluation
  • Quantisation & task-specific fine-tuning
  • Local inference & deployment
Explore our technical depth

Blockchain & security

Build and review the systems behind wallets, transactions and digital ownership. Hands-on engineering for consequential software.

  • Wallets, payments & smart contracts
  • Protocol design & security reviews
  • Technical due diligence
How we created Crypto Stamp Discuss your blockchain project hello@capacity.at

03 / CONTROL IN PRACTICE

Your systems.
A useful next step.

Start with one workflow, then define the boundaries that make it practical to operate.

ILLUSTRATIVE WORKFLOW / INTERNAL KNOWLEDGE
  1. 01

    Connect approved knowledge

    Give an assistant access to the documents it needs, with your existing access rules in mind.

  2. 02

    Let it do one bounded task

    Draft an answer with source references. Keep decisions and consequential actions with a person.

  3. 03

    Evaluate, then operate

    Test against real examples. Add tool permissions, usage limits and monitoring before expanding.

04 / TECHNICAL DEPTH

Models that fit
your infrastructure.

We adapt and optimise open-weight models for the task at hand. The result should be an evaluated system your team can run, understand and maintain.

FROM MODEL TO WORKLOAD

01

Select & measure

Compare models using examples from your task.

02

Adapt & optimise

Quantise for available memory; fine-tune where it helps.

03

Deploy & evaluate

Check quality, latency and cost on the target hardware.

Inside the research Model surgery, agent infrastructure & experiments

Model behaviour research

Our ongoing work includes model surgery and abliteration: experimental changes to model behaviour. These require task-specific evaluation and do not establish system security. Access controls, isolation and testing remain separate engineering work.

Agent infrastructure & applied work

ocvault is open-source credential infrastructure and part of Pocketmon.ai’s technical lineage. Chargecaster explores forecasts, energy tariffs and battery control as noncommercial applied engineering.

05 / HOW WE WORK

From workflow to operation.

A focused first engagement.
A clear path to a working system.

  1. 1

    Assess

    Map the workflow, data and constraints. Agree a measurable pilot scope and deployment approach.

  2. 2

    Build

    Develop one useful workflow. Make data access, agent permissions and operating costs explicit.

  3. 3

    Integrate

    Connect to your systems. Evaluate with your team against agreed quality and performance criteria.

  4. 4

    Hand over

    Prepare documentation and operations so your team can run the system, with support agreed together.

More blockchain experience

Technical guidance for HEROcoin. Smart contracts and Polygon integration for MetaNanos.

How we created Crypto Stamp

LET’S MAKE IT USEFUL.

Bring us
one workflow.

Tell us what you want to improve, the systems involved and the constraints that matter. We’ll work out a useful first step together.

Book a conversation hello@capacity.at