A practice built on balance.

DISols Technologies LLC is a principal-led digital solutions practice in the New York metropolitan area. It builds applied AI systems for operating businesses with direct senior judgment on every engagement.

01 / The mark

The mark describes the method.

Useful systems hold paired demands in balance: automation with human judgment, simple entry points with serious infrastructure, cloud convenience with client control, speed of delivery with discipline of review.

Applied AI works best when both sides are designed together: the tool and the review path, the platform and the owner, the model and the data boundary. DISols is built around that balance.

The DISols mark: a yin-yang of dark slate and silver, extended by circuit traces.

02 / The practice

Small by design.

The practice is deliberately compact. The same principal who assesses the task leads the delivery, shapes the system, and remains accountable for the result.

  1. 01Direct: the principal stays close to the work from assessment through delivery.
  2. 02Senior: every engagement is led with fifteen years of engineering, data, and applied AI practice.
  3. 03Bounded: each engagement is shaped around a scope that can be delivered, reviewed, and measured properly.
  4. 04Accountable: data boundaries, reviewed outputs, named ownership, and measured results apply to every build, at every size.
  5. 05Scaled with care: specialist collaborators join for defined parts of the work when a project requires them. Direct judgment, direct communication, and direct accountability remain the operating standard.

03 / Foundation

Where the judgment comes from.

The practice is led by its founder, Igor Sevonkaev, a physicist by training with fifteen years across industrial R&D, data platforms, analytics, and enterprise AI adoption in complex technical organizations. That background shapes the house style: systems are designed like disciplined experiments, with defined measures, stated assumptions, and results read plainly.

It also explains the range. The same discipline that delivers a meeting-summary tool in a week can carry into data platforms and on-premise deployments, because the method scales with the work.

Founder's profile: LinkedIn ↗

Next step

Begin with one task.

Describe one recurring task in your operation. You will receive a direct assessment of the responsible path: what it would require, how it could be reviewed, and where it could lead.

Describe the task