KLEM OS powered by end-to-end AI — Paravium
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A proposal for klem group

KLEM OS powered by end-to-end AI

KLEM group has designed an ambitious operating system. Paravium brings it to life with a synthetic workforce of six specialised AI agents.

Your twenty-one capabilities do not become twenty-one tools. Six agents reorganise them into eight modules you can activate independently.

Academic backing

Paravium's architecture rests on applied research with the Universidad Politécnica de Madrid and the Universidad Internacional de La Rioja.

Starting point

The KLEM OS you designed

Five business layers and twenty-one capabilities that describe a next-generation agency group end-to-end.

KLEM OS Client intelligence portals 1 AI insights Creative & media 2 AI briefing & approvals 3 Event production centre 4 Intelligence centre Brand & market Human+ teams 5 AI strategy & planning 6 Ideation & growth 7 Growth roles Account & sales 8 Budget & pitch builder AI automated delivery 9 Rapid creative & concepting 10 Scaled content development 11 Media planner & optimiser 12 Influencer AI engine 13 Event coordinator Central brain 14 15 16 AI knowledge hub CRM · RAG · DAM AI foundation infrastructure 17 Financial analysis 18 Billing & invoicing 19 Project coordination 20 KLEM AI assistant 21 AI training & development Five business layers · twenty-one numbered capabilities · as presented by klem group

A human organisation is mapped by department. A synthetic organisation is mapped by capability.

The twenty-one capabilities, numbered

Client intelligence portals

  • 1AI insights — creative & media performance
  • 2AI briefing & approvals
  • 3Event production centre
  • 4Intelligence centre — brand & market

Human+ teams

  • 5AI-enabled strategy & planning
  • 6Ideation & growth
  • 7Growth roles — account & sales
  • 8Budget & pitch builder

AI automated delivery

  • 9Rapid creative & concepting
  • 10Scaled content development
  • 11Media planner & optimiser
  • 12Influencer AI engine
  • 13Event coordinator

Central brain

  • 14CRM
  • 15RAG
  • 16DAM
  • Capabilities 14 · 15 · 16 are not modules to build — they are the knowledge layer itself.

AI foundation infrastructure

  • 17Financial analysis
  • 18Billing & invoicing
  • 19AI project coordination
  • 20KLEM AI assistant
  • Box 20 is the superagent itself.
  • 21AI training & development
Paravium architecture

The synthetic workforce that runs it

Every request enters through a superagent, is routed to specialists, and executed by six agents over a three-component knowledge layer.

KLEM team Internal users Clients External brands Superagent Orchestrator · entry point · context manager Router Routes tasks to the right specialists Synthetic workforce · six specialised agents Sales agent Pitches · proposals · leads covers 7 · 8 Analytics agent Metrics · insights · reporting covers 1 · 4 · 11 · 17 Operations agent Coordination · billing · ops covers 3 · 13 · 18 · 19 Creative agent Image · video · copy covers 6 · 9 · 10 · 12 Knowledge agent Memory · retrieval · history covers 2 · 5 · 10 · 18 Support agent Help · approvals · training covers 2 · 13 · 19 · 21 agents collaborate via agent-to-agent protocol box 20 · klem ai assistant = the entire superagent + router stack Knowledge layer Multimodal embeddings RAG · text · image · video box 15 Entity network knowledge graph · evolved CRM box 14 Object buckets raw asset storage · DAM evolved box 16 Data & integrations · files · APIs · existing klem tools
A note on architectural flexibility

This architecture is our recommended starting point — not a fixed product. We ship infrastructure that lives.

What paravium brings

Five commitments that set us apart

🔓

No black box

No sealed systems. Full knowledge transfer.

⚡

Sprints, not consulting

Short sprints, small teams, building the real thing from day one.

🔀

Model-agnostic by design

Never married to one provider. The best model wins, every time.

🏥

Proven in complex organisations

Hospitals, elite football clubs, health institutions.

🔌

Pre-built pieces that plug in

Proprietary tools that plug in to several modules.

Underlying technology

Paravium research lines that power it all

🤖
Specialised AI agents
Six autonomous agents coordinated by a superagent
🔍
Hierarchical agentic RAG
Multi-agent orchestration for knowledge retrieval
🧬
Multimodal embeddings
High-precision vector embeddings across text, image, video and audio
🧪
Synthetic data
Train models without exposing real client data
💬
Conversational systems
Chatbots and voicebots per KLEM business area
🌐
Distilled models
Domain precision at a fraction of the cost
Working approach

Four stages from blueprint to independence

STAGE 1 · WEEKS 1–6
Foundations
  • Deploy the agentic infrastructure
  • Pre-check on KLEM data: structure, availability, AI-readability
  • From week 3, KLEM project team training begins in parallel
STAGE 2 · MONTHS 2–3
First module live
  • System fine-tuned on KLEM's real knowledge, brand and processes
  • One module production-ready
  • KLEM team operating the system alongside Paravium
STAGE 3 · MONTHS 4–12
Modules added progressively
  • Remaining modules brought online one by one
  • First most complex; subsequent ~6 weeks each
  • Continuous training of KLEM's internal team alongside
STAGE 4 · MONTH 13+
Independence — two paths, KLEM chooses
  • KLEM owns and operates the system autonomously — full IP, full control
  • Path A · Clean exit — KLEM moves on. 10% migration cost (data export, DO exit, IP handover). No penalty, no lock-in.
  • Path B · Continuity with Paravium — 10% loyalty discount on full year 2 total. Modules keep evolving with state-of-the-art tech at no extra charge.
  • No forced renewal — KLEM decides every step. Both paths are honest about their real cost.
Your team's commitment

What Paravium needs from KLEM

Formal training

From week 3 onwards: 2.5h/week of structured training for KLEM's project management team.

Working sessions

On top: 4–7h/week on average in working sessions. Varies by week and depends on data readiness.

Roles needed from KLEM side

  • 1 executive sponsor with decision-making authority
  • 1 dedicated project lead — single point of contact for Paravium
  • 1 data referent per agency for Stage 1 (4 people total)
  • Module-specific power users identified as modules come online
What can go wrong

Risks & how we handle them

No engagement is risk-free. We prefer to put risks on the table from day one.

KLEM data not AI-ready
Mitigation: identified within Stage 1; if data needs significant restructuring, we pause module deployment and re-scope honestly.
A module misses its KPIs at acceptance
Mitigation: KPIs agreed in scope workshop. If missed, module is reworked at no extra cost up to a reasonable limit. If structurally unviable, KLEM does not pay for that module.
Foundation model market shifts mid-project
Mitigation: Paravium is model-agnostic by design. We swap underlying models without rebuild.
KLEM internal adoption slower than expected
Mitigation: training intensifies, timelines extend without extra fee within a 3-month buffer.
Scope creep from KLEM side
Mitigation: change requests handled via structured workshop, never silent additions.
Paravium delivery slower than committed
Mitigation: weekly transparent reporting, plus direct escalation path to Nacho Larriba personally.
Module catalogue

Eight actionable products, six agents, twenty-one contexts

Twenty-one capabilities become eight actionable modules. Five are absorbed into the platform. Minimum four modules for a complete system. Catalogue is non-exhaustive — additional modules can be added as needs evolve.

1

Brand & Market Radar

Covers KLEM capabilities 1 + 4
On-demand intelligence on brands, categories, competitors and AI activity.
  • AI tracking inside each client's category — competitor AI moves, AI-generated content in market, brand AI sentiment
  • Pulls from web, social, press and sector sources on demand
  • Delivers narrative reports: what changed, why, what to act on
  • Detects creative fatigue across active campaigns and flags refresh moments
  • Memory accumulates with every query — sharper insights over time
For: strategists, account managers, new business
Pricing & ROI
Indicative range50–65k€ · final by scope workshop
Indicative ROI
  • Time saved — 15–20h/week of manual research per strategist ≈ 0.5–0.7 FTE freed across the group
  • New capacity — Brand & competitor reports ready in hours, not days — proactive insight delivered to clients before they ask
  • Margin impact — Reduces cost per insight report from ~2,500€ to ~400€ in fully-loaded research time
2

Media Planning & Optimization

Covers KLEM capability 11
A media planner that builds, optimizes and reallocates within KLEM's rules.
  • Builds media plans from a brief: channels, formats, audiences, phasing
  • Optimizes spend across active campaigns within rules KLEM defines
  • Builds first-party audience segments beyond generic demographic targeting
  • Explains every recommendation in plain language for client conversations
  • Pairs with the Brand & Market Radar — insight in, action out
For: media planners, account managers, finance
Pricing & ROI
Indicative range50–60k€ · final by scope workshop
Indicative ROI
  • Time saved — ~40% of media planning hours automated — planners shift to optimization and client conversation, not spreadsheet building
  • New capacity — Plan iterations in minutes instead of days — clients get faster turnaround on "what if" scenarios
  • Margin impact — Spend optimization typically recovers 5–12% of budget waste across active campaigns within agreed rules
3

Content & Social Intelligence Engine

Covers KLEM capabilities 9 + 10 + 12
Three phases: analyse the audience, recommend the post, produce the asset.
  • Analysis — maps each brand's audience: what works, when, where, in what format
  • Recommendation — proposes what to post, when, where, with which influencer
  • Production — generates image, video and copy variations within brand guidelines
  • Influencer matching scored on actual content history, not follower count
  • Authenticity filtering — fake engagement and bot followers filtered out continuously
For: social teams, creatives, account managers, finance
Pricing & ROI
Indicative range70–90k€ · final by scope workshop
Indicative ROI
  • Time saved — Asset variation production cut from days to hours per format — Ogilvy/IBM benchmark: 15 days → 2 days per character variation
  • New capacity — From ~10 to ~50 audience-tested creative variations per campaign, with reasoning attached for client review
  • Margin impact — Frees the creative team's ~82% non-creative time (PHD/WARC benchmark) for the high-value strategic work clients actually pay for
4

Client Intake & Strategy Suite

Covers KLEM capabilities 2 + 5 + 6 + 8
From the first email to a signed proposal — automated end to end.
  • Brief intake — conversational, learns from each client's history
  • Approvals & compliance — routing, checks and stakeholder notifications handled automatically
  • Strategy drafting — plans grounded in KLEM's frameworks, past cases and competitor moves
  • Concept generation — multiple scored ideas in parallel
  • Pitch builder — complete deck with budget allocation, ready for human review
For: strategists, account managers, new business
Pricing & ROI
Indicative range80–100k€ · final by scope workshop
Indicative ROI
  • Time saved — Brief-to-proposal cycle compressed from 5–7 days to 24–48 hours — first draft generated, humans refine
  • New capacity — KLEM can respond to 2–3× more new-business briefs per quarter with the same team
  • Margin impact — Higher win rate on speed-sensitive pitches (KLEM responds while competitors are still scoping)
5

Account Growth & Retention

Covers KLEM capability 7
A commercial copilot for every existing account.
  • Surfaces upsell signals from account activity and meeting notes
  • Flags churn risk early from relationship rhythm and tone
  • Drafts upsell proposals automatically, ready for human review
  • Weekly one-page account snapshot: working, at risk, next action
  • Every recommendation comes with reasoning the account manager can defend
For: account managers, heads of accounts, growth leadership
Pricing & ROI
Indicative range50–60k€ · final by scope workshop
Indicative ROI
  • Time saved — ~6–10h/week per account director on account health monitoring, opportunity spotting and check-in prep
  • New capacity — Detects upsell and at-risk signals weeks earlier — every account director becomes a senior strategist by default
  • Margin impact — Reducing client churn by even 1–2 accounts/year in a 4-agency group typically pays back this module multiple times
6

Event Production Suite

Covers KLEM capabilities 3 + 13
From planning to live coordination, every event handled end to end.
  • Automates supplier sourcing, timelines and budget tracking from the brief
  • Surfaces lessons from past KLEM events relevant to each new production
  • On-site multilingual voicebot for attendee questions and live incident management
  • Automated post-event reports: sentiment, reach, attendance, lessons
  • Pairs with the Brand & Market Radar for full pre, during and post coverage
For: event producers, clients, agency leadership
Pricing & ROI
Indicative range60–80k€ · final by scope workshop
Indicative ROI
  • Time saved — Event coordination overhead cut by ~30–50% — vendor sourcing, briefing packs, run-of-show drafted automatically
  • New capacity — Real-time event monitoring with proactive issue flagging — fewer surprises, calmer producers
  • Margin impact — Lower coordination cost per event means KLEM can take on more events with the same team or improve event margins
7

Finance Automation

Covers KLEM capabilities 17 + 18
P&L vigilance and billing handled by the system.
  • P&L visibility per project, per client and at agency level
  • Invoice generation directly from deliverables, timesheets and contracts
  • Personalized payment follow-ups in each client's language and tone
  • Multi-market tax and compliance across every jurisdiction
  • Margin and cashflow forecasting from the live project pipeline
For: finance, management, account leads
Pricing & ROI
Indicative range70k€ · final by scope workshop
Indicative ROI
  • Time saved — ~50–70% of invoicing, follow-up and P&L reconciliation time eliminated
  • New capacity — Real-time P&L visibility per project, per client, per agency — leadership decisions stop being month-end events
  • Margin impact — Faster invoicing + automated follow-ups typically improve DSO by 8–15 days, freeing significant working capital
8

Project Coordination

Covers KLEM capability 19
Tasks, risks and status updates handled by the system.
  • Auto-creates and assigns tasks from briefs, emails and meeting notes
  • Predicts deadline risk while there is still time to act
  • Recommends workload rebalancing across teams as projects shift
  • Sends client status updates in each client's preferred cadence
  • Layers on top of Clickup, Asana, Monday — does not replace them
For: project managers, account managers, clients, leadership
Pricing & ROI
Indicative range50k€ · final by scope workshop
Indicative ROI
  • Time saved — ~5–8h/week per project manager on task tracking, status updates and risk monitoring
  • New capacity — Deadline risks flagged days earlier — fewer last-minute fire drills, fewer late nights
  • Margin impact — Reduces cost of late or rework projects, which in agencies typically eat 3–8% of project margin

Indicative ranges calibrated against public benchmarks (SalaryExplorer Morocco, Glassdoor MA, MIT 2025, PHD/WARC, Ogilvy/IBM, OECD 2025, St. Louis Fed 2025, WPP 2025). Final ROI calibrated with KLEM at the kick-off workshop.

Indicative ranges calibrated against public benchmarks (SalaryExplorer Morocco, Glassdoor MA, MIT 2025, PHD/WARC, Ogilvy/IBM, OECD 2025, St. Louis Fed 2025, WPP 2025). Final ROI calibrated with KLEM at the kick-off workshop.

A transparent engagement, broken down into three blocks

Every euro broken down into three independent blocks. No flat fees, no hidden margin, no opaque retainers.

BLOCK 1

Infrastructure

The base layer that holds the system. Infrastructure is the hardware foundation — the modules in Block 3 are the real core of value. Digital Ocean partner. Twelve-month minimum.

RECOMMENDED START
Standard tier · H100 · single region
Morocco operations · single-country deployment
Base GPU cost: 180k€ (~$209.5k) + 15% deployment margin
~207k€ /year
  • H100 × 8 GPU — 640 GB VRAM, 160 vCPU, 1920 GB RAM, 2 TB + 40 TB NVMe
  • Full agentic stack: superagent, router, six agents, three-component knowledge layer
  • EU-based inference (SOC2, AES, data transfer compliance)
  • Upgrade to performance tier at any time, no rebuild required
Performance tier · H200 · multi-region
Multi-country deployment · Morocco + Kenya, France or others
Base GPU cost: 207k€ (~$241.1k) + 15% deployment margin
~238k€ /year
  • H200 × 8 GPU — 1.1 TB VRAM, 192 vCPU, 1920 GB RAM, 2 TB + 40 TB NVMe
  • More VRAM unlocks larger models, multimodal workloads, fine-tuning without aggressive quantization
  • Per-jurisdiction compliance and data residency across regions
  • Recommended once KLEM expands beyond Morocco or runs heavier models
GPU pricing reference: Digital Ocean H100 × 8 ($2.99/GPU/hr) and H200 × 8 ($3.44/GPU/hr) instances. Euro figures use a reference rate of ~1.165 USD/EUR.
BLOCK 2

Stage 1 deployment · weekly, one-off

Billed weekly at 6k€/week. Target six weeks, extendable based on KLEM's internal timings.

What is included

  • Deployment of the full agentic infrastructure
  • Pre-check on KLEM data: structure, availability, AI-readability
  • KLEM team training starting week 3
  • Continuous integration with KLEM's existing tools via APIs and MCPs
6k€/week · target 6 weeks
~36k€
Weekly · extendable by agreement
BLOCK 3

Modules · the evolving core

Modules are the real core of the system — and they evolve with the state of the art as long as the relationship continues.

Pricing principles

Each module carries an indicative range visible in the catalogue. Final price is closed at the kick-off workshop. Minimum four modules. Catalogue non-exhaustive.

From 50k€ per module Minimum 4 modules KPI-based acceptance
Example calculation · year 1

Standard tier, four starter modules

Block 1 · Infrastructure (Standard tier · H100)~207k€
Block 2 · Stage 1 deployment (6 weeks)~36k€
Block 3 · Four modules (avg ~55k€ each)~220k€
Total year 1, indicative~463k€
Return on investment

What each module gives back

Indicative ranges per module. Final ROI calibrated with KLEM at the kick-off workshop. Sources at the bottom of the modules catalogue.

Brand & Market RadarModule 1
  • 15–20h/week manual research saved per strategist
  • Insight reports: ~2,500€ → ~400€ in loaded research time
Media Planning & OptimizationModule 2
  • ~40% of media planning hours automated
  • Spend optimization recovers 5–12% of budget waste
Content & Social Intelligence EngineModule 3
  • Asset variations: 15 days → 2 days (Ogilvy/IBM benchmark)
  • From ~10 to ~50 tested creative variations per campaign
Client Intake & Strategy SuiteModule 4
  • Brief-to-proposal: 5–7 days → 24–48h
  • 2–3× more new-business briefs answered per quarter
Account Growth & RetentionModule 5
  • ~6–10h/week per account director on monitoring
  • Reducing churn by 1–2 accounts/year pays the module multiple times
Event Production SuiteModule 6
  • Coordination overhead cut by ~30–50%
  • More events handled with the same team
Finance AutomationModule 7
  • ~50–70% of invoicing & reconciliation time eliminated
  • DSO improvement of 8–15 days — frees working capital
Project CoordinationModule 8
  • ~5–8h/week per PM on tracking and status updates
  • Reduces 3–8% margin loss to late or rework projects

Indicative payback

Year 1 investment recovered in ~9–14 months (indicative). Exact payback calibrated with KLEM's data at the scope workshop.

Year 2 and beyond

Two paths, no lock-in

After year 1, KLEM owns the system. Two clear options on the table.

If KLEM moves on

Clean exit, real migration cost

  • 10% of year 1 total investment as one-off migration cost
  • Covers data export, exit from Digital Ocean, IP handover and technical offboarding
  • No penalty, no lock-in — this is the real engineering cost of leaving
  • KLEM keeps full ownership of modules, data and trained models
~46k€
Example: 10% × ~463k€ year 1 total. One-off.
If KLEM continues

10% loyalty discount, modules keep evolving

  • 10% discount on full year 2 total — infrastructure, modules, everything
  • Modules already built keep evolving with state-of-the-art technology, no extra charge
  • New modules can be added as needs evolve
  • The longer KLEM stays, the more valuable the relationship becomes
~417k€
Example: ~463k€ × 0.9. Recurring, with modules that keep getting better.
Payment can be spread monthly over 12 months from the moment KLEM commissions the engagement, if preferred.
Who we are
Paravium is a native AI engineering firm — combining deep technical expertise with a sherpa mindset to guide organisations to the summit of intelligent transformation.

An applied AI research lab — not a consulting firm

Paravium is a tech-based company spun out of the Universidad Politécnica de Madrid, with more than twenty years of work in agentic AI.

Founder
NL

Nacho Larriba

Founder & CEO · Paravium
  • Engineer from the Universidad Politécnica de Madrid · 22 years building AI for sectors that cannot afford to fail
  • ACTÚAUPM 2025 Trajectory Award — recognising the most outstanding entrepreneurial path among the university's tech-based founders
  • Nominated by MIT in 2011 as one of the best engineers in Spain
  • Currently professor of Applied AI in Business at the Universidad Politécnica de Madrid International MBA
  • Former Chief Digital Officer in companies across energy, health and AI
Vertical leadership relevant to klem

Two of our vertical leads who matter for an agency group

Miguel Ángel Turci

Lead · Fan engagement & monetization

Journalist and digital media specialist. Led the launch of Marca.com, then digital strategy at El Mundo and OkDiario.

Fernando Rivas

Lead · Sports intelligence

Long-time coach of Carolina Marín. Head Coach of the French Badminton Federation until 2025, where he delivered the federation's best historical results.

Recent clients

Trusted by organisations across critical verticals

U·DLas Palmas
Sport · La Liga football
MovistarEstudiantes
Sport · Professional basketball
Moore Global
Professional services · Audit & advisory
BlueHealthcare
Healthcare
ASPY
Occupational health & risk prevention
GrupoAvanza
Mobility & passenger transport
Recent announcement · January 2026

UD Las Palmas — agentic AI deployed across the club

“It is not the big who eats the small, it is the fast who eats the big.”
Miguel Ángel Ramírez, President of UD Las Palmas

The same Paravium agentic architecture deployed across every department of the club — a structural parallel with KLEM. Nacho Larriba leads the engagement.

Global scale

Madrid HQ, partnerships across four continents

Paravium operates from Madrid with global scale, through partnerships in Atlanta, Toronto, the UK and Boston — including a 31-person team integrated with Vijil.ai.

How we work

Five operating principles

🤝
Technical extension of your team

We integrate as part of your team.

🧱
Modular multi-agentic infrastructure

One superagent orchestrator decides which specialists to activate.

🧊
Distilled proprietary models

Proprietary distillations of leading foundation models.

🌍
Train in North America, infer in Europe

Train in the US and Canada, infer in Europe under SOC2, AES and data transfer compliance.

🔍
Total transparency

If we cannot explain it, we do not recommend it.

Side by side

Paravium vs the alternatives KLEM is evaluating

Big-4 / strategy consultancies
Designs the strategy. Ships a deck.
  • Six-month diagnostic with steering committees
  • PowerPoint deliverable, no code
  • Implementation handed to another vendor
  • No system running at end of year 1
500–800k€ · year 1
Result: a deck.
New AI-first studios & boutiques
Build fast, but small. Pivot risk.
  • Promising tools, early-stage teams
  • Limited track record beyond 18 months
  • Risk of pivot or shutdown mid-engagement
  • No institutional or academic backing
Variable, often opaque
Result: speed today, fragility tomorrow.
Implementation consultancies
Sell hours. Deliver hours.
  • Hourly billing scales with project length
  • Generic playbooks across verticals
  • KLEM becomes one of many accounts
  • You keep paying for it forever
600k–1M€ · year 1
Result: a system. And a permanent invoice.
Build it internally
Hire your own AI team. Wait.
  • 4–6 AI engineers (~60–120k€ each fully loaded)
  • 18+ months to reach productivity
  • 100% on KLEM to maintain foundation models
  • Talent retention risk year 2+
500–800k€ · recurring
Result: full control, full burden.
PARAVIUM

Designs and builds the system. Hands KLEM the keys.

  • Six-week MVP, three-month production system, twelve-month full deployment
  • Four to eight modules deployed by month twelve
  • KLEM team trained, IP transferred, full ownership
  • Modules keep evolving with state-of-the-art tech, no extra charge
  • Two paths year 2+: clean exit or loyalty discount. KLEM decides.
~460–570k€ · year 1
Result: a full operational system, owned by KLEM, evolving with the field.