LAT: 57.7089° N, 11.9746° E [GOT — GOTHENBURG, SWEDEN] SYS_REF: ANM-0941-CORE
STATUS: DEPLOYING APPLIED COGNITION
[Applied AI Consultancy // Gothenburg]

We translate unstructured complexity into autonomous advantage.

Animathos is an applied AI consultancy in Gothenburg, Sweden. We help European enterprises put AI into production: private AI agents and LLMs fine-tuned on your own data, AI marketing automation, and modernization of legacy ERP and CRM systems — from a 3-week audit to a live system in 14 weeks.

NODE: ARCH_CORE_GOT ILLUSTRATIVE
FEED_01 // COGNITIVE BANDWIDTH SCHEMATIC
EPOCH 0.001 INFERENCE CONVERGENCE: STABLE
DEPLOYMENT ON-PREM OR EU-HOSTED
FIRST STEP 3-WEEK AUDIT
HANDOVER DOCS + TRAINING
PHASE_01 // AUDIT
3 wks [AI readiness audit]

Data, process and risk audit that ends in a written specification.

DELIVERABLE SPEC DOSSIER
PHASE_02 // PILOT
3 wks [Proof of value]

A working pilot, tested against a control baseline before any rollout.

DELIVERABLE BENCHMARK
PHASE_03 // PRODUCTION
8 wks [Integration]

Hardened deployment, monitoring and hand-over to your team.

DELIVERABLE LIVE SYSTEM
GOVERNANCE // DATA
Private [Your perimeter]

Models can run on-premise or in EU data centers. Your data never trains public models.

DATA RESIDENCY EU / ON-PREM
SECTION 01 // TACTICAL PILLARS

AI consulting practices

Three structural vectors engineered to decouple executive performance from human headcount constraints.

[PRACTICE // 01A] 01/03

AI marketing automation engines

Replacement of disjointed agency retainers with deterministic, self-optimizing algorithmic execution layers. Automated audience synthesis, programmatic creative generation at massive scale, and real-time bid arbitration.

DEPLOYMENT CAPABILITIES:
  • + Algorithmic Audience Synthesis & Churn Modeling
  • + High-Volume Programmatic Asset Pipelines
  • + Deterministic Multi-Touch Marginal Attribution
  • + Cross-Platform Autonomous Arbitrage Bidding
ENGINE STACK:
LLM-Orchestration Vector Stores Autonomous DSP Dynamic LTV
[PRACTICE // 01B] 02/03

Enterprise digitalization & legacy modernization

Dissecting monolithic architectures and replacing sluggish manual operations with continuous, event-driven data fabrics. We build unified telemetry planes over ancient ERP/CRM silos without costly rip-and-replace disasters.

DEPLOYMENT CAPABILITIES:
  • + Event-Driven Microservice Wrappers for Monoliths
  • + Real-Time Operational Data Fabric & Graph Sync
  • + Zero-Downtime Data Pipeline Modernization
  • + Automated Workflow Orchestration & RPA Hardening
ENGINE STACK:
Zero-Downtime Pipeline Graph DB Autonomous RPA Data Mesh
[PRACTICE // 01C] 03/03

Private AI agents & on-premise LLMs

Constructing strictly private cognitive infrastructures fine-tuned on company data. We operationalize multi-agent consensus networks for executive forecasting, risk pricing, and complex decision triage.

DEPLOYMENT CAPABILITIES:
  • + Air-Gapped Foundation Model Fine-Tuning
  • + Multi-Agent Adversarial Consensus Protocols
  • + High-Density Knowledge Retrieval (Graph-RAG)
  • + Algorithmic Executive Scenario Simulation
ENGINE STACK:
Air-Gapped Models Graph RAG Consensus Logic LoRA Adaptation
SECTION 02 // OPERATIONAL EXECUTION

The 4-phase AI delivery protocol

Predictable engineering stages eliminating theoretical ambiguity. From initial excavation to compounding algorithmic moats.

PHASE 01 // 3 WEEKS W01 - W03

AI readiness & data audit

Exhaustive architectural forensic audit. We map data pipelines, evaluate latency bottlenecks, uncover hidden arbitrage points, and define strict mathematical parameters for measurable advantage.

DELIVERABLE SPECIFICATION DOSSIER
PHASE 02 // 3 WEEKS W04 - W06

Pilot & proof of value

A sandboxed pilot of the proposed AI agents and pipelines, tested in closed loops against a control baseline to measure whether it beats your current process.

DELIVERABLE BENCHMARK REPORT
PHASE 03 // 8 WEEKS W07 - W14

Full-spectrum integration

Hardened production deployment into your enterprise environment. Complete real-time observability telemetry, multi-agent fail-safes, sovereign perimeter security, and hand-over to your technical staff.

DELIVERABLE LIVE SYSTEM
PHASE 04 // ONGOING COMPOUNDING

Autonomous compounding

Continuous self-refinement. Deployed agentic swarms monitor feedback telemetry, re-index proprietary knowledge, and systematically optimize customer acquisition channels as market dynamics shift.

DELIVERABLE DEFENSIBLE MOAT MATRIX
SECTION 03 // ILLUSTRATIVE SCENARIOS

Example engagements

HYPOTHETICAL EXAMPLES // NOT CLIENT RESULTS
[SCENARIO // LOG-882] ILLUSTRATIVE

Logistics group: AI pricing & account reactivation

Illustration (AI-generated): container port at night with cranes and stacked containers
ILLUSTRATION // AI-GENERATED
THE TYPICAL BOTTLENECK

Quotes for custom multimodal freight take days, because pricing data sits in separate ERP and CRM systems. Slow quotes lose bids.

WHAT WE WOULD BUILD

A multi-agent pricing engine that queries carrier APIs and historical margins in seconds, plus automated follow-up on lapsed accounts.

QUOTE TURNAROUND
DAYS -> HOURS
TARGET OUTCOME
PRICING DISCIPLINE
MARGIN-AWARE
TARGET OUTCOME
[SCENARIO // LUX-419] ILLUSTRATIVE

Luxury retailer: AI creative production at scale

Illustration (AI-generated): dim concrete gallery interior
ILLUSTRATION // AI-GENERATED
THE TYPICAL BOTTLENECK

Rising customer acquisition costs and creative fatigue across many European markets, while creative production is capped at a few dozen assets a month.

WHAT WE WOULD BUILD

A generative brand studio that follows strict typographic and brand rules and produces localized ad variants at scale, with real-time performance feedback.

CREATIVE OUTPUT
LOCALIZED
TARGET OUTCOME
ACQUISITION COST
LOWER CAC
TARGET OUTCOME
SECTION 04 // SYSTEMIC SIMULATION

AI value estimator

Adjust a few parameters to see an illustrative value range and where an engagement would start.

PARAMETER 01 // ANNUAL REVENUE SCALE €100M - €500M
PARAMETER 02 // CURRENT AI & DIGITAL MATURITY TIER II: DISJOINTED SAAS SILOS
€14.5M
€1.0M €25.0M €50.0M+
SIMULATION OUTPUT ENGINE ● ILLUSTRATIVE
INDICATIVE VALUE RANGE
€4.1M – €6.5M

Illustrative only: low end = your spend × a size factor (22%, 28% or 36% by revenue band) × a maturity factor (1.45, 1.0 or 0.85); high end = low end × 1.6. Not a forecast, offer or guarantee. Real numbers come from the Phase 01 audit.

RECOMMENDED SPRINT PHASE 01 (3-WEEK AI AUDIT)
PRIMARY INTERVENTION VECTOR AI MARKETING AUTOMATION + DATA INTEGRATION
SECTION 05 // ENGAGEMENT PIPELINE

Request a confidential AI consultation

We take on a limited number of engagements at a time, and every inquiry is read by a senior consultant.

MUTUAL NDA BEFORE ANY DETAILED DISCUSSION
CONFIDENTIAL HANDLING BY DEFAULT
PERSONAL REPLY, AIMING FOR ONE BUSINESS DAY
DIRECT EMAIL
contact@animathos.com

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