AnnouncementNeed a Fractional CTO instead?

AI Engineering Manager

Know what your engineering team actually shipped.

Your team says it's done. Solidmatics reads the real work behind the claim (the code, the tasks, the messages) and tells you in plain English what actually got shipped.

See how it works

From $699/mo. Five minutes to connect, nothing to install.

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Aesthetidocs
Syntaxis
Elevita
AWS
Rivile
Focus Studio
Kavos Draugas
Kobi
Kyocera
Fotofabrikas
Saaga Solve
Merck
Varle
Ringfree
Swisscom
Bounce Rental Solutions
Litesite
Book Cover Club
Ohmex
Quantum
Strelok Consulting
BCE
Black Pearl Analytics
Beautyfur
myPlan
RE/MAX
KTU Startup Space
Tinar
Baltic Freya
Kayak
Toptal
Huma
Screencloud
Velocity Black
HomeToGo

The problem nobody talks about

You're paying for engineering you can't see.

Every month you wire $10K to $50K to a team you mostly take on faith. Standup says green. The invoice says full-time. Whether those two things match what actually got built is anyone's guess.

  • A contractor bills 40 hours and ships maybe 15 worth of work.

  • One person writes the code. Another shows up to the calls and takes the credit.

  • Tickets get marked done while the bug list quietly grows.

  • Activity drops off and the invoice stays exactly the same.

  • You find out three months and twenty grand too late.

Recognize two or more? That is not a people problem yet. It is a visibility problem, and that one is fixable.

See what it catches

What a real CTO catches in week one

Six patterns, hiding in data you already have

Connect your tools and these surface on their own. No survey, no self-reporting, nobody gaming a time tracker. Just what the commits, tickets, and messages already say.

Ghost hours

Billing full-time, shipping part-time. The activity timestamps tell the real story.

Work sharing

Two names on the task, one person actually writing the code. Commit history gives it away.

Face vs. coder

One person talks in every standup. Someone else ships all the code. You are paying for both.

Defect factories

More bugs filed against their work than features finished. Net negative, week after week.

Quiet quitting

Fewer commits, slower replies, reviews drying up. Someone is already halfway out the door.

Hidden superstars

Shipping steadily, reviewing everyone else, unblocking the team. Usually the most underpaid person on it.

Not every flag is bad news. The same read surfaces your hidden superstars, the people quietly carrying the team. And every flag comes with the evidence behind it, so it starts a conversation, not a verdict.

What you actually see

Not another dashboard. An opinion.

No charts to decode. You get the call a senior engineering lead would make sitting next to you, in one sentence, in plain English.

Signals

Andrius K.

5 PRs merged this week

Positive signal

Maria S.

Reviewed 3 teammates' code

Positive signal

Dev Team

Sprint closed on time

Positive signal

Alerts

Viktor P.

Zero commits in 5 business days

Alert

Raj M.

Commits only on Mondays and Fridays

Alert

Tom L.

Activity declining 3 weeks straight

Alert

The absence of a badge says something too. When everyone is shipping and one name stays quiet for weeks, that is your cue to check in.

How it works

Five minutes to connect. Answers the same day.

No agents on anyone's machine, no rollout project, no asking the team to log hours. You plug in the tools they already use and the reading starts.

  1. 1

    Connect

    Securely connect GitHub, Jira, and Slack in a couple of clicks. Read-only, nothing to install.

  2. 2

    Map your team

    We match people across platforms automatically. You confirm the few we cannot.

  3. 3

    It watches

    It watches the work around the clock and connects the dots across code, tickets, and messages.

  4. 4

    You get the signal

    Clear signals and flags, not a wall of metrics. What an engineering lead would actually call out.

Why not just use a tracker

Trackers watch inputs. We watch what shipped.

Screen recorders spy on people, and good developers route around them in a week. Metrics tools hand you charts and assume you already know what to look for. We read the output and tell you what it means.

SolidmaticsScreen recordersEngineering metrics
ExamplesAI Engineering ManagerHubstaff, Time DoctorLinearB, Jellyfish
What it watchesActual outputMouse clicks and screenshotsDashboards and charts
Built forAnyone running the teamSurveillanceSomeone who reads dashboards
Your developersBarely notice itHate itTolerate it
Tells you what actually matters
PriceFrom $699/mo + usagePer seat, monthly$20K+ a year

Performance Signals

Track Record

Twenty years of running engineering and product. Not a CV. The work behind the pitch.

Since 2006

in software engineering and product leadership

200+ engineers

coached and mentored

12+ teams

built from first hire

40-person orgs

restructured and turned around

99.98% uptime

on systems we've architected

LLM products

in production, including pre-training pipelines and AI agents

What people say

The founders, engineering leaders, and operators who have worked with the team building Solidmatics.

Leadership

Who's Behind This

Vygandas Pliasas has been writing code and leading engineering teams since 2006. He sits as fractional CTO and CPO across companies in the US and Europe today.

One of those companies is an AI-powered platform where he runs engineering and product hands-on. So the technical calls he makes for you are calls he is also making on his own roadmap this week. Teams built from the first hire, broken ones turned around, LLM products shipped end to end including the pre-training side.

Backed by senior operators who specialize in cloud infrastructure, security, DevOps, and software architecture. Not subcontractors. People he's worked with and trusts to deliver.

Vygandas Pliasas

Questions engineering leaders ask

Founding member pilot

Ten teams get in first.

I have led engineering teams since 2006. I am building this for the leaders I keep meeting who are flying blind on a team they pay a fortune for. Get in early and you shape what it becomes.

  • Connects to GitHub, Jira, and Slack (read-only, five minutes)
  • We figure out who actually did what across your tools
  • Plain-English signals and a weekly digest
  • A direct line to me for product feedback