IGN-001 · HOMEPAGE REV 2026.05 LAT 52.2297 · LON 21.0122
NOW ACCEPTING NEW ENGAGEMENTS

An AI strategy as precise as the problems it solves.

Ignitia-AI is an applied AI consultancy for manufacturing, enterprise and professional-services teams. We assess, architect, build and scale systems that move past pilots and pay back in production.

[ 01 ] THREE PILLARS

03 / 03
→ 01 · CONSULTING

AI Strategy & Roadmaps

We translate ambiguous business goals into measurable, prioritized AI portfolios - with a clear path from opportunity to deployment.

  • Opportunity mapping
  • Build vs. buy analysis
  • Capability assessment
  • ROI & risk modeling
→ 02 · ENGINEERING

Custom AI Development

Production-grade systems built by senior engineers - from retrieval and agent platforms to vision and forecasting pipelines.

  • LLM & agent platforms
  • Computer vision
  • Forecasting & optimization
  • MLOps & observability
→ 03 · GOVERNANCE

AI Governance & Risk

Frameworks and controls that keep AI systems compliant, auditable and trusted - from EU AI Act readiness to live model monitoring.

  • EU AI Act readiness
  • Policy & controls
  • Model & data audits
  • Continuous monitoring

[ 02 ] MEASURED OUTCOMES

UPDATED 05.2026 · AGGREGATE
Engagements shipped 0+ Production deployments across manufacturing, services and public sector. + 12 IN THE LAST 12 MONTHS
Avg. payback period 0mo Median time from kickoff to measured operational return on a deployed system. ↓ 38% VS INDUSTRY BENCHMARK
Pilot-to-prod rate 0% Share of engagements that reach live, supported production - not stranded proofs. ▲ 4× THE FIELD AVERAGE
Senior engineers 0% No juniors on client work. Every engagement led by 10+ year practitioners. EU · UK · LATAM TIME ZONES

[ 03 ] SELECTED WORK

VIEW ALL CASES

Four engagements. Four production systems.

Each case below moved from initial assessment to live, measured operation in under a year. Click any project for the full technical brief, architecture decisions and post-deployment metrics.

CASE · 01 / 04 F&B · GLOBAL
Forecasting dashboard

Demand-forecasting platform across 150+ markets and 600 SKUs.

−34%Forecast error
12wkTo production
€4.2MAnnualised lift
CASE · 02 / 04 CONSULTING · ENTERPRISE
Knowledge-retrieval interface

Internal knowledge-retrieval agent for 8,000 consultants and bid teams.

2.4×Research speed
94%Citation accuracy
8kActive users
CASE · 03 / 04 MANUFACTURING · EU
Vision QA system

Computer-vision QA on the assembly line for precision-machined parts.

99.3%Defect recall
−61%False rejects
3 linesLive in prod
CASE · 04 / 04 LEGAL · LATAM
Legal drafting agent

Multi-agent drafting platform for civil-court procedure and discovery.

−71%Draft time
3 jur.Live coverage
21kDocs / month

[ 04 ] METHOD

04 STAGES · CONTINUOUS

Assess. Architect. Build. Scale.

A linear method with a continuous feedback loop. Each stage produces a tangible artifact the next stage depends on - no slide-only deliverables, no value left on the table at handoff.

STAGE 01 - ASSESS

Find the leverage.

Two- to four-week deep dive into data, workflows and economics. Output is a ranked opportunity portfolio with cost, risk and expected payback for each candidate.

Artifact → Opportunity portfolio Duration → 2–4 weeks
STAGE 02 - ARCHITECT

Design the system.

Reference architecture, data contracts and integration plan. We decide build vs. buy, model choices and the human workflow around the system - before a line of code is written.

Artifact → Reference architecture Duration → 3–6 weeks
STAGE 03 - BUILD

Ship to production.

Senior engineers, weekly demos, real data from day one. We build inside your stack with full MLOps, observability and human-in-the-loop controls from the first commit.

Artifact → Live system + runbook Duration → 8–20 weeks
STAGE 04 - SCALE

Compound the wins.

Adoption, monitoring and expansion. We harden the system, train your team to own it, and roll the same pattern across adjacent processes and business units.

Artifact → Owned, monitored platform Duration → Ongoing

[ 05 ] ECOSYSTEM

PARTNERS & STACK

Vendor-neutral. Stack-fluent.

We work across the modern AI stack - model providers, data platforms, infrastructure, evaluation - and pick the right tool for the engagement, not the alliance.

FOUNDATION MODELS04
DATA & WAREHOUSE03
INFRASTRUCTURE03
EVAL & OBSERVABILITY02
MODELANTHROPIC
MODELOPENAI
MODELMISTRAL
MODELMETA · LLAMA
DATASNOWFLAKE
DATADATABRICKS
CLOUDAWS
CLOUDAZURE
CLOUDGCP
EVALLANGSMITH
EVALWEIGHTS & BIASES
VECTORPINECONE
+ A1 + A2 + B1 + B2
CONTACT · IGN-CTA

Spark · the future of your enterprise.