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Spartera Advisory Services

Three fixed-fee, senior-led engagements for companies moving into the AI era: get your data ready for AI, find out what it's worth, and govern what your AI costs to run.

Prepare, Value, Optimize. Each engagement stands on its own and ships something real: a readiness score and prototype, a live marketplace product, or a deployed AI cost-governance framework.

Prepare · Value · Optimize

Three Services, One Principle: Ship Something Real

Get AI-ready, find out what your data is worth, and govern what your AI costs to run. Every engagement is fixed-scope and senior-led. Start where your pain is sharpest.

AI Readiness & Prototype
Prepare · Agentic Readiness

Are you ready to build AI, and can we prove it?

AI Readiness & Prototype

Prove your data is ready for AI. Then prototype it.

A fixed-fee diagnostic that scores your AI readiness with the Spartera 100 Point Check and ships a working agent on your own data.

  • The Spartera 100 Point Check, a weighted readiness scorecard across data, use case, security, management, and team
  • Vendor-neutral architecture blueprint with no platform lock-in
  • A working prototype on your real data at the Prototype tier and above
Investment

From $25,000

Timeline

2 to 12 weeks by tier

Explore
Demand Intelligence Analysis
Value · Data Monetization

What will buyers pay for analytics built on your data?

Demand Intelligence Analysis

Find out what analytics buyers will pay for.

A fixed-fee sprint that finds which analytics your data can support, what buyers will pay, and ships your first live marketplace listing.

  • Live marketplace signals — actual searches, impressions, clicks, and conversions, not surveys or historical comps
  • Product strategy — which analytics, visualizations, and data feed formats are most valuable to build and prioritize
  • Revenue & pricing strategy — recommended price points and bottom-up revenue projections per confirmed use case
Investment

$5,000 flat fee

Timeline

10 business days from schema receipt

Explore
AI Agent FinOps
Optimize · AI Cost Governance

What is your AI actually costing, and how do we govern it?

AI Agent FinOps

Cost-per-task discipline for agentic workloads.

A fixed-fee audit that maps what your agents actually cost per task, then installs the spend guardrails and ROI framework to govern it.

  • Full agent workload cost audit: every agent, reasoning step, tool call, and retry mapped
  • Per-agent and cost-per-task economics: true unit cost per agent, per task, per use case
  • Runaway-spend guardrails: hard limits on loop depth, retries, and recursion
Investment

From $24,500

Timeline

6 weeks (audit + roadmap)

Explore

Where to Start

Three independent services. Two bracket the AI lifecycle, Prepare then Optimize, while Value turns your data into revenue. Start where your pain is sharpest.

Start here if →
You're moving toward AI

You want to build AI or agents but aren't sure your data, architecture, or governance are ready. Prepare proves it, and prototypes it.

Start here if →
You own valuable data

You have proprietary data and want to know what it's worth and how to monetize it. Value turns it into a priced, live product.

Start here if →
Your AI is already running

AI and agents are in production and the cost is unpredictable or running away. Optimize governs it and gives finance a number.

Not sure which fits? Schedule a free 30-minute call → We'll tell you honestly.

Proprietary Capability

The Only Data Audit Backed by Real Buyer Demand

We run the marketplace. We see what buyers search for and don't find. When we analyze your data, that demand signal is the foundation — use cases, pricing, SQL, revenue estimates — all grounded in what buyers are actually paying for right now.

Use-Case Level Intelligence — Not Dataset-Level Guesses

Standard data assessments work top-down: they estimate what your entire dataset might fetch on the market. We work bottom-up from real demand — matching what buyers in our marketplace are actively searching for against what your data can actually answer.

When we finish your analysis, you don't get a range. You get a confirmed list of discrete use cases, what each one is worth per query, the SQL to implement each one, and a prioritized roadmap. We then list your first product on the marketplace before the engagement closes.

Use-case level
Specificity — not dataset estimates
Live demand
Real buyer searches from our marketplace
SQL included
Ready-to-implement for each use case
10 business days
From schema receipt to live product

Every Analysis Produces Four Deliverables

Concrete, implementable outputs — not a slide deck of possibilities

Product Strategy

Which analytics, visualizations, and data feed formats are most valuable to build — and in which order. Ranked by demand signal strength so you know exactly what to prioritize.

  • Confirmed use cases validated against your schema
  • Format recommendations — API, visualization, or data feed
  • Demand volume and trend per use case
  • Product roadmap prioritization by revenue potential

Revenue & Pricing Strategy

Bottom-up revenue estimates and recommended price points for each confirmed use case, grounded in comparable marketplace transaction data — not top-down dataset estimates.

  • Recommended price per query for each use case
  • Estimated monthly query volume based on demand signal
  • Monthly and annual revenue projection per use case
  • Total portfolio revenue estimate across all confirmed use cases

Go-to-Market Strategy

Who would buy each of your confirmed products and where to find them — specific buyer personas, industries, and channels most likely to convert.

  • Buyer persona profile per use case
  • Industry and company-type targeting
  • Recommended outreach and distribution channels
  • Initial ICP (ideal customer profile) for your data products

Competitive Intelligence Brief

Which other companies have similar data, how your data compares, and what you can do to stay ahead — so you can price and position with confidence.

  • Competitive provider landscape for your data category
  • Differentiation analysis — where your data is stronger
  • Pricing positioning relative to comparable products
  • Strategic recommendations to maintain competitive advantage

Setup Code

Starter SQL queries for each confirmed use case, validated against your actual schema. Hand this to your data engineer to begin building immediately — no translation layer, no ambiguity.

  • SQL query per confirmed use case
  • Parameter definitions (filterable dimensions)
  • Output schema and column documentation
  • Performance notes and index recommendations

Live Marketplace Listing

We configure your seller account, set up your managed endpoint, and list your first product on marketplace.spartera.com so buyers can discover and purchase immediately.

  • Spartera seller account configured
  • Managed API endpoint live and queryable
  • First product listed with documentation and pricing
  • Buyer-facing product description written

10 Days from Schema to Live Product

1
Day 0

Discovery call

30 minutes to assess your schema and confirm the engagement is a fit. We’ll tell you honestly if you’re not ready. No commitment required.

2
Days 1–2

NDA + schema receipt

Sign NDA, share your data dictionary or schema. No raw data leaves your environment — we only need table names, column names, and data types.

3
Days 3–8

Analysis, strategy & SQL development

We match buyer demand against your schema, build your product and pricing strategy, identify your buyer personas, run your competitive landscape, and write initial SQL for each confirmed use case.

4
Days 9–10

Delivery + go live

All six deliverables delivered, seller account configured, first product listed on marketplace.spartera.com and queryable by buyers. You leave with something live.

Ready to See What Your Data Is Worth?

A 30-minute discovery call confirms your data is a fit. We can typically begin within a week. And if you'd rather have our team build all your analytical products for you — we offer full implementation as an add-on.

Start a $5K Analysis Have Us Build Everything
Why Spartera

A Different Kind of Advisory

We're practitioners, not generalists. Every engagement is senior-led, fixed-fee, and ends with something live — not just a deck.

Fixed fee
No hourly billing surprises
Senior-led
Founders hands-on with every client
Live outputs
Engagements end with products, not decks
📅 Schedule a Free Consultation

30 minutes. Senior practitioner on the call. No commitment.

Client Results

What Our Clients Say

"Working with Spartera has been the missing piece to help bring my data to life. They offer the support I need to build and sell my data projects but the freedom to do what I feel is best for my company."

K
Kyle Trimble
CEO · BangedUpBills

Our Proven Methodology

Delivering measurable, predictable enterprise value

Our Proven Methodology

Delivering measurable, predictable enterprise value

1
Step 1 • 1–4 weeks

Focused Assessment

Comprehensive analysis delivering clear understanding of your current state, opportunities, and the right path forward.

  • ✓
    Current state analysis
  • ✓
    Opportunity identification
  • ✓
    Verified roadmap
  • ✓
    Success criteria definition
⚙️

Focused Assessment

Step 1 • 1–4 weeks

2
Step 2 • 2–4 weeks

Strategic Blueprint

Development of detailed implementation strategy with validated models, frameworks, and clear technical direction.

  • ✓
    Strategic implementation plan
  • ✓
    Technical architecture design
  • ✓
    Pricing and commercial models
  • ✓
    Risk mitigation strategy
⚙️

Strategic Blueprint

Step 2 • 2–4 weeks

3
Step 3 • Varies

Operational Implementation

Deployment of systems, governance frameworks, and operational infrastructure — hands-on, not just advisory.

  • ✓
    System implementation
  • ✓
    Governance deployment
  • ✓
    Operations setup
  • ✓
    Testing and validation
⚙️

Operational Implementation

Step 3 • Varies

4
Step 4 • Ongoing

Continuous Management (Optional)

Sustained optimization and governance through recurring managed services for clients who want long-term support.

  • ✓
    Continuous monitoring
  • ✓
    Ongoing optimization
  • ✓
    Financial reporting
  • ✓
    Governance maintenance
⚙️

Continuous Management (Optional)

Step 4 • Ongoing

Why Spartera Advisory

We're practitioners, not just advisors

🚀 Expert Analytics Services

Spartera's advisory team is led by practitioners with deep, hands-on experience in the exact problems we solve. Our founding team has built data platforms, run cloud migrations, and developed data monetization strategies at Google, Lumen, and Annalect — not just advised on them.

😰

Traditional Approach

Time-consuming and expensive

✗

Months of implementation time

✗

High upfront costs

✗

Limited expertise in-house

✗

Ongoing maintenance burden

Spartera Logo

Our Services

Fast, affordable, expert-led

✓

Practitioner-led: Our founder spent 8+ years as a Senior AI Architect at Google Cloud designing data infrastructure for enterprise clients. Every advisory engagement is senior-led — not delegated to junior consultants.

✓

Marketplace-connected: Unlike traditional consulting firms, our advisory services are connected to a live data marketplace. Data-to-Revenue engagements don't end with a strategy deck — they end with products live and available to buyers.

✓

Honest scope recommendations: We'll tell you if the Demand Intelligence Analysis is enough. We don't upsell engagements that don't fit your situation.

✓

Fixed-fee commitment: All engagements are fixed-price with defined scope. No hourly billing surprises, no scope creep charges.

Free Resources

Tools & Guides to Get You Started

Use our frameworks and assessments before you ever talk to us — or use them to evaluate whether an engagement makes sense.

📋
Free PDF

Data Monetization Readiness Checklist

20 questions before your data is ready to sell

Coming soon
🧮
Free Tool

Cloud Waste Estimator

Estimate your potential savings in 2 minutes

Coming soon
📖
Free PDF · Email required

Data Monetization Starter Guide

7 questions to answer before selling your data

Coming soon

Resources launching soon. In the meantime, schedule a free consultation and we'll walk you through our methodology directly.

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Meet Our Team

The experts behind Analytics as a Service

Our founding team combines decades of experience in data engineering, AI, and analytics platforms.

Tony DiLoreto

Tony DiLoreto

Founder & Chief Executive Officer

20+ years in Data/AI Engineering, Platform Development, and Cloud Architecture

Veteran Data/AI Engineer with 20+ years building scalable data platforms and infrastructure. Former Senior AI Architect at Google where he designed AI/ML solutions for enterprise clients across media, sports, and financial services. Led cloud platform consulting at Google for 8+ years, specializing in data architecture and API infrastructure. Holds MS in Data Science from Northwestern University. Founded Spartera to build the data commerce infrastructure layer he saw missing between proprietary data owners and the AI companies that need their data.

Expertise

Data Architecture AI Engineering Platform Development Cloud Platforms (GCP) Data Commerce Infrastructure
Scott Schobert

Scott Schobert

Founder & Chief Revenue Officer

25+ years in Revenue Leadership, Enterprise Sales, and AI-Powered Go-to-Market Strategy

Revenue leader with 25+ years driving enterprise growth across media, entertainment, and sports analytics. Former Sales Director at Lumen Technologies, securing key partnerships with professional sports leagues, broadcasting networks, and sports betting platforms. Founded OrionAI to combine AI-powered automation with proven sales strategies. Track record includes establishing $5M+ in strategic partnerships and consistently leading global sales performance.

Expertise

Revenue Strategy Enterprise Sales Media & Entertainment Data Monetization Sports Analytics
Abid Kapadya

Abid Kapadya

Analytics Advisor

15+ years in Analytics Platform Development and data monetization strategy

Analytics leader with 15+ years building data platforms and insights solutions at scale. Led analytics teams at Google, Amazon, and Instacart, driving data monetization initiatives and self-service analytics adoption across enterprise customers.

Expertise

Analytics Platform Development Data Monetization Product Strategy Enterprise Analytics
Eric Kaufmann

Eric Kaufmann

Startup Intelligence

15+ years in Go-to-Market Strategy and startup operations

Go-to-market specialist with 15+ years helping early-stage startups scale operations and revenue. 2x first business hire to solo founders, delivering operational and financial rigor to drive growth at seed-stage companies.

Expertise

Go-to-Market Strategy Business Operations Financial Planning Startup Scaling
Peter Mbote

Peter Mbote

Head of Consulting - FinOps

8+ years in Cloud FinOps and financial operations for data platforms

Cloud FinOps engineer and founder specializing in infrastructure cost optimization and financial efficiency. Helps CTOs and CFOs reduce cloud costs while scaling data platforms through strategic financial and operational oversight.

Expertise

Cloud FinOps Infrastructure Cost Optimization Financial Planning GCP/AWS Architecture
Jen Lorenzini

Jen Lorenzini

Global Head of Customer Success

20+ years in Customer Success, GTM Operations, and Strategic Account Leadership

Customer success executive with 20+ years driving organizational transformation and strategic partnerships across enterprise technology. Expert in building customer-obsessed teams, scaling operations, and enabling adoption of cloud, AI, and data solutions that deliver measurable business outcomes.

Expertise

Customer Success Strategy Cloud Transformation Executive Relationship Management GTM Operations
Chaitra Telukala

Chaitra Telukala

Digital Marketing & AI Intern

Experience in Digital Marketing, Data Analytics, and CRM Operations

Digital marketing and AI intern with a strong foundation in data analytics, CRM processes, and IT solutions. Currently pursuing a Bachelor of Science in IT Management at the University at Buffalo Honors College, with hands-on experience in multi-platform digital engagement, A/B testing, and AI-driven marketing workflows. Brings expertise in data visualization, community engagement, and cross-functional collaboration to support Spartera's growth initiatives.

Expertise

Digital Marketing Data Analytics AI-Driven Workflows CRM Tools Data Visualization Community Engagement
Amanda Wilson

Amanda Wilson

Account Manager

Entry-level Account and Customer Relationship Management

Early-career account manager passionate about building strong client relationships and driving customer success. Brings fresh perspective on data-driven decision making and customer engagement strategies, supporting clients in maximizing value from the Spartera platform.

Expertise

Client Relationship Management Customer Onboarding Account Coordination Data Commerce Platform Support

Work Directly With Our Founding Team

Our founders work hands-on with every client. With 40+ years of combined experience in data engineering, AI, and analytics platforms, you get senior-level expertise from day one.

👥 Schedule Team Call ⚙️ See Our Process

Ready to Get Started?

Schedule a free 30-minute consultation — we'll tell you honestly which engagement fits your situation.

Our founders work directly with every client. You'll talk to a senior practitioner in the first call, not a sales rep.

🎯 Free Initial Consultation

A focused 30-minute call with a senior team member to assess your situation and recommend the right starting point

What's Included:

Current state discussion
Honest assessment of your monetization or cost opportunity
Engagement recommendation (including if Demand Intelligence Analysis is the right entry)
Investment and timeline estimates

Get In Touch

Email Us
Get detailed information about our services
services@spartera.com
Call Us
Speak directly with our team
+1 (571) 266-1793
Book a Call
Schedule a convenient time to discuss your needs
https://calendly.com/spartera-team
📅 Schedule Free Consultation

No commitment required • 30-minute call with our experts

Send Us a Message

Schedule Your Demo

See Spartera in action with a personalized walkthrough of the data commerce platform