Engineered to Expand What Marketers Can Do.
Auggie gives brand teams capabilities they’ve always wanted: customer perspectives before they spend, clear guidance on what to improve, and shared intelligence that carries into the next decision.
Every marketer question starts with a decision: what to say, what to change, where to invest. Auggie connects customer evidence with brand and market context, then applies its own scoring, controls and checks to produce guidance your team can inspect connecting that intelligence to coordinated work, human judgment and learning from results—creating a new way for brands to work and grow.
Grounded customer perspectives
Specific, and tied to evidence you can open.
Traceable recommendations
Examine the context behind the guidance.
Built, Tested, Proven
72 mechanisms verified in production code.
Built around brand decisions.
Marketing expertise defines the problem. Engineering makes the system work.
A proprietary system for customer decisions.
Evidence rules, persona controls and evaluation workflows, refined through two and a half years of real marketing work.
Proprietary Engineering Behind Every Customer Conversation.
Specialized algorithms and guardrails preserve customer identity, ground responses in evidence and make recommendations traceable.
in production code
Persona integrity
12Keep identities and preferences consistent.
Grounding
13Anchor responses to customer evidence.
Persona enrichment
11Turn evidence into richer customer context.
Retrieval
10Bring relevant evidence into each question.
Evidence strength
7Assess how much support a finding has.
Market intelligence
7Bring market context into the conversation.
Session behavior
6Keep the conversation coherent over time.
Data & platform
6Protect brand data and reviewed records.
Engineering for Real Brand Decisions.
Thousands of customer-facing workflows have shaped Auggie’s proprietary technology - connecting marketing expertise, customer evidence and specialized AI into a system built for how brands work.
Virtual Customers + Virtual Professionals
We created our first versions in ChatGPT, then demonstrated and refined the approach with 120 marketers working on real marketing assignments.
Continuous evolution. Proprietary engineering.
Successive LLM advances and our own algorithms, guardrails and orchestration evolved the approach into Auggie, refined through thousands of customer-facing workflows.
Deployed inside a $15B enterprise.
Early enterprise deployment brought Auggie into real brand workflows, adding hands-on experience with operational demands, adoption and enterprise requirements.
Bring the customer’s world into the decision.
Eight source families feed one evidence pipeline. Configured per brand, separated on the way in.
Customer reviews and ratings
Positioning, products and audiences
Brand sites and public web content
News, trends and category context
Support conversations and transcripts
Studies, interviews and uploaded files
Audience conversations and engagement
Public competitor and category material
Customer evidence and the work you are evaluating enter as different things and stay that way.
The platform calculates the evidence strength.
Auggie recomputes support from the retrieved evidence rather than adopting the model’s self-assessment.
Question relevance
How closely the evidence matches the question
Source type
The kind of evidence supporting the response
Customer volume
How many customers the retrieved material represents
A label you can inspect — not a probability of being right.
Controls built around real failure modes.
Each of these exists because something went wrong in a real assignment first.
Persona Engine
| Control | What it does | The failure it prevents |
|---|---|---|
| Confirm identity | Surface extraction mismatches before a session | A misread profile shaping every answer that follows |
| Enforce constraints | Preserve defining attributes and stated preferences | A Virtual Customer quietly becoming someone else mid-session |
| Maintain continuity | Address leading questions and repeated answers | A panel agreeing with whoever asked last |
Creative verification
| Step | What it does | The failure it prevents |
|---|---|---|
| 01 Observe the asset | Check what the uploaded creative actually contains | Reacting to a described ad rather than the one you supplied |
| 02 Separate interpretation | Label observation and inference distinctly | An inference presented as something seen |
| 03 Verify or fall back | Check claims against the asset, fall back when checks do not resolve | A confident answer about an element that is not there |
Your brand’s evidence stays inside your brand.
Workspace isolation is an architectural boundary, not a permission setting.
Evidence is scoped
Research, reviews, transcripts and signals are retrieved only within the brand they belong to.
Memory does not cross brands
What a Virtual Customer carries forward stays inside the workspace where the conversation happened.
Reports are fixed records
A finished report preserves the version your team reviewed. Later sessions do not rewrite it.
Access is role-based
Workspace permissions govern who sees which brand’s material, with an activity record behind it.
Inspect the response. Review the context.
Open the explanation, challenge the interpretation, flag points for your team to revisit.
The panel is organised by where each input came from, not by how good the answer is.
Turn Customer Understanding Into Better Marketing.
Know what resonates, what needs to change and why - before you invest.
Make your next move with confidence.
Explore messaging, offers, pages and concepts with Virtual Customers.
Get specific recommendations with the customer context behind them.
Bring updated work to the same Virtual Customers. Your team coordinates each step.
Return to shared conversations and recommendations for your next decision.
The Customer OS for Your Brand
Give Auggie an objective. Specialized agents prepare a plan and work for your team's approval.
Bring customer evidence, market signals and previous decisions into shared intelligence across teams and brands.
Connect recommendations, changes and observed results to inform future work.
Build Your Brand’s Customer Intelligence Advantage.
A shared foundation for better decisions - powered by proprietary engineering and enriched by your brand knowledge, customer evidence and experience.
Proprietary technology
- Evidence-grounded customer perspectives
- Specialized algorithms and guardrails
- Recommendations your team can inspect
Brand knowledge and experience
- Brand knowledge, research and customer signals
- Virtual Customer conversations and questions
- Recommendations and reports for future work
Shared understanding
Give teams a common customer perspective.
Better decisions
Bring relevant evidence into the next question.
Continuity across teams
Carry conversations and recommendations forward.
VISION
Bring us a decision.
Start with your brand context and a real marketing question. Examine the guidance with your team.
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