Question 1

What does Avatar Investments do?

Accepted Answer

Avatar Investments puts AI into production — where most firms stop at strategy. We are an AI transformation firm, technology-agnostic by design, with Palantir Foundry and AIP as our deepest partnership — and we are the Palantir Preferred Partner in Italy. Our engineers embed on-site with clients to ship production AI systems tied to measurable P&L outcomes. Paid on outcomes — or not at all. Not pilots, not slideware.

Question 2

Is Avatar Investments a Palantir partner?

Accepted Answer

Yes — Avatar Investments is the Palantir Preferred Partner in Italy. Avatar led the deployment of Palantir Foundry and AIP at Fedrigoni, the global specialty papers leader, as announced in the Palantir Investor Relations press release (June 2025). The partnership is a core capability, not an exclusive one: Avatar also deploys on Databricks, Snowflake, hyperscaler stacks, and custom builds when those are the right answer to the problem.

Question 3

What operating experience do Avatar’s founders bring?

Accepted Answer

Avatar was founded by operators with twenty years of enterprise-building behind them. Riccardo Basile: former Chief Executive Officer of Lazada Thailand, former Chief Commercial Officer and Chief Mobile Officer of Lazada Group — the Southeast Asian e-commerce leader acquired by Alibaba Group in one of the region’s largest technology exits — co-founder of AGORA (London), and former consultant at McKinsey & Company (London). Ludovico Fassati: former SVP Americas and President B2B Americas at Nexar AI, former President and CEO of Vodafone IoT Americas, and former CEO of Cobra Telematics (acquired by Vodafone and rebranded as Vodafone Automotive, ~450 employees across seven countries). Riccardo’s academic background: Bocconi (Economics) and NYU Stern (MBA, Finance).

Question 4

Where is Avatar Investments based?

Accepted Answer

Avatar Investments is headquartered in Milan, Italy, with delivery offices in Istanbul and Miami. Engineers are forward-deployed on-site with clients across Europe, the Middle East, and North America.

Question 5

Which industries does Avatar serve?

Accepted Answer

Avatar serves large enterprises and investment-backed companies across manufacturing, retail and FMCG, financial services, energy and utilities, healthcare, logistics and supply chain, telecommunications, and the public sector — with an operational focus on mid-to-large cap European companies.

Question 6

What happens if Avatar does not believe a project will create real value?

Accepted Answer

We say NO-GO. Avatar runs on success fees: if a project does not produce measurable business value, we do not get paid. That single fact flips every incentive. Traditional consultancies are rewarded for selling projects regardless of outcome; Avatar is rewarded only for shipping value. When we look at a potential engagement and cannot see a credible path to real P&L improvement — revenue created, cost removed, risk reduced — we say so upfront and explain why. We would rather walk away from a project we do not believe in than cash an invoice for a system that does not move the business. The only projects worth running are the ones that concretely improve how our clients operate and earn.

Question 7

What is the Avatar delivery method?

Accepted Answer

Avatar’s delivery method is Listen, Prove, Build, Transfer. We listen to the operational problem, prove a hypothesis on real data in weeks, build the production system with embedded engineers, and transfer full ownership to the client — code, ontology, and playbooks. No lock-in, no perpetual retainer.

Question 8

How does Avatar price its engagements?

Accepted Answer

Avatar prices on outcomes, not hours. Fees are tied to measurable business results — revenue lifted, cost removed, cycle time cut. If the project underperforms, we earn less. This replaces the time-and-materials model that dominates traditional consulting, where invoices grow whether or not the system works.

Question 9

Who owns the code and intellectual property Avatar builds?

Accepted Answer

The client owns everything Avatar builds — source code, data ontology, pipelines, models, and operational playbooks. Avatar does not retain IP or create platform lock-in. The Transfer phase of our delivery method is explicit: we train the client’s internal team, hand over full documentation, and walk away. A long contract is not the goal; a team that no longer needs us is.

Question 10

Can Avatar work alongside our existing consulting or IT partner?

Accepted Answer

Yes. Avatar operates as the AI deployment layer on top of a client’s existing stack and existing advisors. We complement traditional consultancies (McKinsey, BCG, Accenture) and systems integrators (Deloitte, Capgemini, NTT Data) rather than replace them. Strategy partners can keep framing the problem; Avatar ships the production system — on Palantir, Databricks, Snowflake, or a custom stack — that makes the strategy real.

Question 11

How is Avatar different from McKinsey, BCG, or Accenture?

Accepted Answer

Avatar ships production systems; large consultancies ship recommendations. Avatar’s co-founder trained at McKinsey for three years — we know the strategic model from inside, and we know where it stops. The Avatar deliverable is running software with measurable P&L impact, not a slide deck. We are paid on outcomes, stay embedded until go-live, and transfer full ownership of the deployed systems to the client.

Question 12

Does Avatar only work with Palantir, or with other technologies too?

Accepted Answer

Avatar is technology-agnostic. Palantir Foundry and AIP are our deepest partnership because their combination of governed ontology, forward-deployed engineering model, and European regulatory footing fits the majority of large enterprise problems — but we start from the problem, never from the platform. Where Databricks, Snowflake, BigQuery, a hyperscaler stack (AWS, Azure, GCP), or a custom build is the right answer, that is what we ship. The platform serves the architecture, never the reverse.

Question 13

What does an Avatar engagement look like when Palantir is not the right answer?

Accepted Answer

When the problem calls for a different stack, we build on what fits. Typical patterns: Databricks or Snowflake for data-science-heavy workloads on existing lakehouses; a hyperscaler-native build (AWS, Azure, GCP) when the client is already deeply invested in one cloud; a custom application layer when off-the-shelf platforms add cost without adding value. The Avatar method — Listen, Prove, Build, Transfer — is identical regardless of the underlying technology, and so is the commercial model: outcome-based fees, engineers forward-deployed on-site, full IP transfer at go-live.

Question 14

When does Avatar recommend building a custom stack over adopting a platform?

Accepted Answer

When the cost and constraints of a platform outweigh its benefits for the specific problem. Platforms (Palantir, Databricks, Snowflake, hyperscaler native) accelerate delivery when the use case is a good fit for their abstractions — governed ontologies, lakehouse analytics, managed ML pipelines. A custom build is the right call when the problem is sufficiently narrow that a platform’s surface area becomes overhead, when the client’s data is already well-structured outside any platform, or when regulatory or sovereignty constraints make a platform dependency unacceptable. Avatar does the tradeoff analysis in the scoping conversation, upfront and transparently.

Question 15

What is a forward-deployed engineer (FDE)?

Accepted Answer

A forward-deployed engineer (FDE) is an engineer who works on-site inside a client’s operations — not from a vendor office — to ship production software tied to a named business outcome. The model was pioneered by Palantir Technologies in defense and intelligence work and is now the backbone of commercial Foundry and AIP deployments. Avatar operates the FDE model across every engagement, regardless of the underlying platform: engineers embed with the client until a system ships and a measurable P&L result is locked in.

Question 16

What is Palantir Foundry and AIP?

Accepted Answer

Palantir Foundry is an enterprise data and AI platform that integrates disparate sources into a governed ontology, enabling operational decision-making at scale. Palantir AIP (Artificial Intelligence Platform) layers LLM-powered workflows on top of that governed data, so AI operates on real enterprise context rather than isolated prompts.

Question 17

Palantir Foundry vs Databricks vs Snowflake — what is the difference?

Accepted Answer

Databricks and Snowflake are data and analytics platforms optimized for storing, processing, and querying enterprise data at scale. Palantir Foundry is an operational platform built on top of a governed ontology — a semantic layer that models real-world objects (customers, plants, SKUs, shipments) and the actions that can be taken on them. Foundry is designed for operational decision-making and AI deployment, not just analytics. In practice, Foundry often sits alongside Databricks or Snowflake, consuming their data and turning it into production workflows with AIP.

Question 18

Does Avatar build custom AI models or use off-the-shelf LLMs like Claude, GPT, or Gemini?

Accepted Answer

Avatar uses both, depending on the problem. Modern AI platforms — Palantir AIP and its peers — are model-agnostic and support the leading foundation models from Anthropic (Claude), OpenAI (GPT), and Google (Gemini), alongside open-weight models. For most enterprise workflows, orchestrating frontier LLMs on governed data produces better outcomes than training custom models. Where a specialist model is required — computer vision, time-series forecasting, domain-specific NLP — Avatar builds and deploys it inside the same operational architecture.

Question 19

How do I start a project with Avatar?

Accepted Answer

Engagements with Avatar start with a scoping conversation: we sit with the client team, map the operational bottlenecks, and identify where AI or data-driven workflows can credibly move the P&L first. Depending on complexity, scoping can take a few days or a few weeks — we do not force a fixed timeline. The output is either a go decision that opens the Prove phase (a working system on real data, anchored to a single measurable outcome, which converts into a full outcome-based engagement if it lands), or a clear NO-GO if we do not see a credible path to value. The fastest route in is the contact form or the free AI assessment linked from the site navigation.

Question 20

How long does a typical Avatar deployment take?

Accepted Answer

Avatar engagements typically ship a first production workflow within 8–12 weeks, with full rollout measured in months — not years. This velocity comes from the forward-deployed engineering model: engineers embedded on-site, shipping weekly against a named P&L outcome, rather than drafting roadmaps for someone else to execute. Timelines are similar on Palantir Foundry / AIP, Databricks, Snowflake, or a custom stack — the method, not the platform, is what drives speed.

Question 21

Can Avatar train our internal team to operate the deployed system independently?

Accepted Answer

Yes — internal enablement is the explicit goal of the Transfer phase. Avatar pairs client engineers, analysts, and operators with forward-deployed engineers during Build, documents the data architecture and pipelines, runs hands-on workshops on the deployed stack (whether Palantir Foundry and AIP, Databricks, Snowflake, or custom), and leaves behind operational playbooks. The intended end state is a client team that can extend, maintain, and evolve the deployed system without Avatar in the room. This is how we earn the right to tie fees to outcomes: we do not need to stay to protect revenue.

Question 22

Does Avatar work in regulated industries?

Accepted Answer

Yes. Avatar works in regulated sectors including financial services, healthcare, energy and utilities, and the public sector. Delivery choices — platform, deployment model, data residency — are made with the client’s regulatory perimeter in mind: granular data governance, audit trails, EU data residency and sovereign cloud where required, alignment with frameworks such as GDPR, DORA, and the EU AI Act. Where Palantir Foundry and AIP are the right fit, their regulated-industry posture is a direct asset; where a different stack is better suited to the compliance profile, Avatar deploys on that instead.

Question 23

Does Avatar offer a free AI maturity assessment?

Accepted Answer

Yes. Avatar runs a free AI Maturity Assessment for European enterprises: a 24-question, 6-dimension evaluation with consulting-grade behavioral descriptors and Claude-powered recommendations tailored to your organization. Output includes a maturity score by dimension, priority actions, and a gap analysis against comparable European peers. Start the assessment from the AI Assessment link in the site navigation.