Case 01
Enterprise SaaS
Agentic support layer replacing 14 internal tools.
6×
delivery velocity
−72%
infra cost
9w
to production
03+LzLzm
Element 03+
Atomic weight ∞
Elite AI-native engineering
for complex software.
Lithium powers batteries.
Silicon powers chips.
Lizium powers AI-native software.
Elite engineers lead AI agent fleets that ship with architecture.
Senior-only
engineers
Agent-fleet
delivery
2-week
pilot pods
Architecture
first
01Problem
AI-native software exposes every weakness in how teams build.
01
The complexity tax
AI-era products span models, agents, data planes, eval, and shipping pipelines. Junior-heavy teams build incidents, not systems.
02
Tool sprawl, no architecture
Copilots and frameworks multiply weekly. Without a coherent architecture, velocity collapses into rewrites within six months.
03
Big consultancies are too slow
Quarter-long discoveries and 30-person teams cannot keep pace with weekly model releases. You need senior pods that ship.
02Solution
Senior architects, agent fleets, repeatable delivery.
Lizium is the engineering element you add to a product team to compound it. Three operators in the loop, dozens of agents under them, one architecture they all defend.
- Architecture-first decisions, versioned and reviewable.
- Agent fleets do the breadth; seniors hold the bar.
- Evidence-based gates between every phase.
- Own your repo, your data, your IP — always.
SystemLzm.001
Architect
Engineer
Engineer
03+LzLzm
Agent fleet · 10 concurrent
Cadence · 2wGated · evidence
03Offerings
Four ways to compound your engineering org.
01 / Build
→AI Product Engineering
Ship AI-native features end-to-end: data, models, agents, UX, eval, telemetry.
02 / Design
→Architecture & Platform
Reference architectures for agentic systems, RAG, and multi-tenant model ops.
03 / Operate
→Agentic Workflows
Replace internal processes with reliable agent fleets, governed and observable.
04 / Lead
→Fractional CTO / Advisory
Embedded senior leadership for founders raising seed through Series B.
04Case Studies / POCs
Selected work.
Case 02
AI-first startup
RAG + eval platform powering a Series A product launch.
2.4M
queries / day
94%
answer accuracy
3
engineers
Case 03
Fintech
Document-intelligence pipeline across 22 jurisdictions.
18d
from POC to live
−81%
manual review
SOC 2
ready
05Methodology
Five phases. Evidence between each.
- Phase 01Discover1w
Strategic intake; risks, constraints, success metrics.
- Phase 02Architect1w
Reference design, decision records, eval plan.
- Phase 03Build with agents4–8w
Senior pod + agent fleet ship to production.
- Phase 04Harden2w
Eval, security, observability, on-call playbooks.
- Phase 05Operateongoing
SLOs, model drift, cost, and iteration loops.
06Repeatable Delivery Model
The Lizium Pod.
One unit of delivery. Composable, predictable, fast. Scales linearly per workstream — no pyramid, no junior dilution.
1
Architect / lead
2
Senior engineers
10+
Agent runners
2w
Iteration cadence
1
Eval owner
100%
Senior-only
07Traction
12
Pilots shipped
48k+
Agent runtime hrs
72
NPS (last 12m)
94%
Pilot → retainer
08Team
Operators who have shipped at the bar AI demands.
Kostia "Wondered"
Founder · CEO
Ex-platform lead, two acquisitions.
Roman "Unbeatable"
Founder · CTO
Distributed systems, ML infra, 15y.
Human Brain
Principal Architect
Agentic systems, evals, retrieval.
Claude + Claude Code
Head of Delivery
Pod operating model, SLOs, FinOps.
09Advisors & Partners
AI Lab
Series B SaaS
Cloud
VC
Research
Studio
For investors
Building the engineering layer for AI-native software.
Pre-seed / seed. Senior team, working capital, pipeline of enterprise pilots. Deck on request.
For founders & product leads
Run a 2-week pilot pod.
Pick one workflow. Get an architect, two seniors, and an agent fleet. Production-shaped output in 10 working days.
10Contact
Tell us what you’re building.
30-minute intro with a partner. No deck required.
- General
- hello@liziumsoft.com
- Pilots
- pilot@liziumsoft.com
- Investors
- investors@liziumsoft.com
- Press
- press@liziumsoft.com