Stop the pre-sales ping-pong
Turn ambiguous requirements into validated, audit-ready quotes
in 15 minutes - across any complex portfolio
See it in action
40 seconds that show how we turn chaos into clarity
Do you sell something
more complex than sneakers?
Then you know the pain: Excel sheets, engineer ping-pong, clients screaming "I need an answer today!"
And 98% of your visitors leave before the first contact.
NOT ALL-IN-ONE, MODULAR SOLUTION
Not one confused AI — two experts working in perfect sync
The Interviewer
Conducts professional scoping workshops through dynamic cards. Adapts terminology, regulations, urgency, and budget language to your vertical.
- Contextual onboarding per industry
- Dynamic requirement gathering
- Certainty scoring & gap analysis
- Natural conversation flow
- Zero technical jargon
The Engineer
Pure logic machine. Runs multi function-calling iterations, querying PostgreSQL through secure MCP bridge for 100% accurate data.
- Component compatibility validation
- BOM alignment checks
- Regulatory boundary enforcement
- Service bundle orchestration
- Zero hallucinations
Validation, not hallucination
Why we're fundamentally different from RAG systems
RAG Systems
Guess based on similarity matching. "Looks like this component might work." No guarantees. Hallucinations. Incompatible builds.
Co-Seller.AI
100% accurate data directly from your PostgreSQL catalog. Every component validated. Every constraint checked. Mathematical precision.
| Feature | RAG Systems | Co-Seller.AI |
|---|---|---|
| Data Accuracy | Similarity-based guessing | [+]100% from database |
| Hallucinations | Common occurrence | [+]0% |
| Compatibility Validation | Post-hoc manual review | [+]Real-time constraint checks |
| Audit Trail | Black box | [+]Every decision logged |
At the moment, we implement custom product databases and agent logic for each of our clients to achieve 100% accuracy, and this takes up most of the integration time of our solution.
THE TRANSFORMATION IN NUMBERS
Real metrics from pilot implementations
The same chaos. Different catalogs.
Server & Infrastructure
Client needs a quote by EOD. Your engineer is in 3 back-to-back meetings. Product compatibility data is scattered across multiple Excel files.
Robotics & Production Lines
Customer wants throughput specs, payload capacities, and PLC integration details. Your sales team needs engineering expertise to answer basic questions.
Solar, Battery & HVAC
Prospect wants ROI projections, regulatory compliance proof, and installation timelines. Data scattered across vendor tools and spreadsheets.
Healthcare & Lab Equipment
Hospital needs equipment that matches sterilization requirements, patient volume, and regulatory standards. Manual selection risks choosing incompatible or non-compliant components.
Modular Interiors
Client wants modular kitchen in 3 finish options, delivery in 6 weeks, specific dimensions. Manual configuration takes hours and errors are costly.
MSP & Support Bundles
Prospect wants hardware + software + 5-year support with SLAs. Three different teams need to price components. Takes a week minimum.
What makes us different
Four architectural advantages you won't find elsewhere
Any Industry, Any Complexity
If we can digitize your selection rules — no matter how complex — and structure your products or services, then we can deploy. Same platform adapts to your catalog and business logic.
Context-Aware Dynamic Interview
We don't ask users rigid questionnaire forms. AI configurator understands the context of their task and dynamically generates relevant questions and answer options — adapting conversation flow to each specific situation in real time.
Modular Two-Agent Architecture
Not one confused AI — two specialized agents working in sync. Interviewer handles customer conversations and extracts requirements. Engineer validates against your database and builds configurations. Each agent does what it does best, zero confusion.
No Black Box
Every decision is visible. Sales teams see why each component was chosen. Compliance teams get full audit trails. Customers understand the reasoning behind their quote. Complete transparency — no hidden logic, no unexplained choices.
Investment models
Choose the path that fits your organization
Standard Deployment
Agile implementation + Cloud scale. Most common path for rapid market entry.
- Direct website integration (Chat or API)
- Business logic customization
- System calibration
- Database construction & population services
- Managed cloud hosting
- Updates & maintenance included
- Scales with request volume
Enterprise On-Premise
One-time license
For strict data sovereignty requirements. Full control, deployed on your infrastructure.
- Deployed on your infrastructure
- Full data control
- Docker / Kubernetes ready
- Implementation fee based on complexity
- White-label options available
FAQ
Assessment & Applicability
Our rule is simple: Everything more complex than sneakers.
If your product involves compatibility checks, technical constraints, or requires an Excel sheet to determine if "Component A fits with Component B," you need our Co-Seller Configurator.
If you do sell sneakers (or simple retail items where any size fits any color), the Configurator is overkill. However, for those cases, we can deploy a specialized AI Search Engine instead. This tool focuses on semantic search and visual discovery ("Show me red running shoes for rainy weather") rather than technical validation logic.
No. Complexity is not about the number of SKUs, but the logic connecting them. You might have only 5 base products (e.g., industrial pumps), but if they have thousands of possible configuration permutations, dependencies, and constraints, our system is highly effective.
It is agnostic. The core engine remains the same, but the "Interviewer Agent" adapts its persona:
For B2B: It focuses on technical specs, compliance, speed, and producing detailed audit-ready documentation.
For B2C: It acts as a guide, educating the customer and translating complex jargon into simple benefits (e.g., helping a homeowner choose a heat pump).
It works for both, and even combinations of the two. We treat service parameters (SLAs, maintenance contracts, installation hours, licensing tiers) just like physical components.
The system is particularly powerful for "Hybrid" sales - for example, configuring a piece of hardware and the correct support bundle to go with it in a single quote.
Pricing & Commercial Terms
The price depends on three main factors: (1) the complexity of your configurator's business logic and industry-specific requirements, (2) integrations with your existing systems (CRM, ERP, product databases), and (3) deployment model - whether you choose our cloud-hosted solution (Custom-as-a-Service) or on-premise deployment.
Base package includes deployment of our dual-agent system adapted to your catalog, integration with your product database (where technically feasible), basic design customization matching your brand, and website embedding via iframe. Additional costs may include data structuring services, advanced custom design work, or specialized integrations beyond standard scope.
Three factors: system complexity (number of product categories, validation rules, integration points), your SLA requirements (response time, uptime guarantees), and request volume. Think of it as infrastructure that scales with your needs - not arbitrary limits.
No. Updates, monitoring, and standard technical support are included in the monthly service fee. New feature development or major architectural changes would be scoped and priced separately.
Absolutely. Standard Deployment is designed exactly for this - test with part of your catalog, validate results, then scale. Most clients start to lean and expand once they see conversion improvements.
Yes, we offer phased payment aligned with implementation milestones: initial deposit → integration completion → go-live → monthly service fees.
Depends on your current conversion rates and average deal size. We can run projections together - most clients see ROI within 3-6 months based on the 4× conversion improvement and elimination of engineering bottlenecks. If you're losing 60% of prospects to wait times alone, payback comes fast.
Configuration & Business Logic
Extremely flexible. Unlike traditional chatbots that follow rigid "Decision Trees" (If A → Then B), our "Interviewer Agent" works with contextual goals. You define the data points we need to collect (e.g., budget, timeline, technical constraints), and the Agent determines the best way to ask for them based on the flow of conversation. It feels like a natural consultation, not a survey.
Core logic changes are managed by us to ensure system stability and 100% accuracy. However, we can provide you with access to System Prompt settings. This allows your team to tweak the agent's "personality," tone of voice (e.g., formal vs. friendly), and phrasing without risking the integrity of the selection logic.
It depends on the type of update:
New SKUs in existing categories: Instant. If you add a new "Server Model X" that follows the same rules as your existing servers, it appears in the configurator as soon as your database syncs.
New Product Categories: Requires analysis. If you start selling a completely new type of product (e.g., adding "Solar Panels" to a "HVAC" catalog) with new physical constraints and selection rules, we need to update the logic.
Yes. The system can support dynamic routing. For example, the first question can be "Are you a homeowner or an installer?" Based on the answer, the agent switches modes: asking technical questions and showing wholesale pricing to the installer, while using simplified language and retail pricing for the homeowner.
Yes. We don't just display list prices. We can program the "Engineer Agent" to handle complex calculations:
- Volume-based tiers (e.g., 5% off for >10 units).
- Bundling logic (Discount on X if bought with Y).
- Regional pricing (Different price lists based on user location).
- SLA calculations (Price as a percentage of hardware cost).
Product Database
We handle the entire integration. You provide access credentials and documentation of your database structure - we build the connection layer, mapping, and validation logic. Whether it's PostgreSQL, MySQL, MSSQL, or REST APIs from your ERP, we adapt to your infrastructure.
All of them, technically - but here's what actually happens: we build our own optimized PostgreSQL database specifically designed for the configurator's logic. Your source data can be in any format (SQL databases, Excel, XML feeds, API endpoints). We handle the migration and ongoing synchronization. You don't need to change your systems.
Data structuring is one of our core services. We can consolidate your catalog from scattered Excel files, PDF specifications, and your engineers' expertise into a unified, queryable database. This is billed separately - typically €2,000-€10,000 depending on catalog complexity and data volume. For a 500-component catalog with basic attributes, expect closer to €2,000. For 5,000+ SKUs with complex dependencies and incomplete documentation, it scales up.
It varies by industry and selection methodology. Server configurators need CPU specs, RAM compatibility matrices, power requirements. Garden design services need plant hardiness zones, sun exposure, soil types. We audit your sales methodology first, then define the minimum viable data structure. Typically: product IDs, names, categories, pricing, and 5-15 selection criteria per product type.
Two options: (1) We can set up automatic synchronization with your existing catalog system - changes propagate in near real-time. (2) We can build a simple interface for your team to manage updates directly. Most clients opt for automatic sync to eliminate manual work.
Your choice. Automatic synchronization is hands-off - your existing systems remain the source of truth. Alternatively, we can provide an admin interface where your product managers update specs, pricing, and availability directly. No technical skills required.
Yes. We've integrated with SAP, Oracle NetSuite, Microsoft Dynamics, Salesforce CPQ, other and custom systems. If your system has an API or database we can query, synchronization is straightforward. If not, we'll discuss alternatives like scheduled data exports.
Functionality & Capabilities
Automatic handoff to your sales team. The configurator recognizes when it's out of its depth - unusual customization requests, pricing negotiations beyond defined rules, or questions requiring human judgment. It doesn't pretend or hallucinate. Instead, it captures all context from the conversation and routes it to your team with full history. Customer doesn't hit a dead end - they get "Let me connect you with our specialist who can help with this specific requirement."
Depends on your sales methodology. Three common approaches: (1) System presents closest standard configuration and flags it as "requires custom quote," (2) Captures custom requirements in structured format for your engineering team, or (3) Routes immediately to human sales for anything outside catalog. We define these rules together during implementation based on how you currently handle custom requests.
Yes. We can implement multi-tier pricing rules: volume breakpoints, seasonal promotions, partner/dealer pricing, loyalty discounts, bundle offers. The logic can be as sophisticated as needed - progressive discounts based on total system cost, category-specific promotions, time-limited offers. All rules are transparent and auditable.
Yes, no technical limitations. The dual-agent architecture adapts conversation style and terminology to each language naturally - not rigid translations. Critical point: define required languages upfront during scoping. Adding languages post-launch requires re-training the interviewer agent on industry terminology and conversation patterns for each language.
Yes, but it's a configuration setting, not a dynamic toggle. You can deploy separate configurators for different product lines or restrict one instance to specific categories. What you can't do: turn categories on/off in real-time through a dashboard. Changes require redeployment (typically 15-30 minutes).
Through explicitly defined compatibility rules and constraint checking - not AI guesswork. Example: If Component A requires 750W power supply, the system will not choose less than 750W + your %gap. We encode your engineering knowledge (voltage requirements, physical dimensions, interface standards, regulatory constraints) into mathematical rules. Every validation is deterministic and traceable.
Yes, when we encode those requirements into the validation logic. Examples: medical devices must meet FDA/CE marking requirements, electrical systems need UL certification, food equipment requires NSF compliance. System automatically excludes non-compliant components or flags configurations requiring additional certification. We document your regulatory landscape during implementation and build those boundaries into the configurator's logic.
Absolutely. We can build a reference system for lead times based on component availability, manufacturing schedules, shipping zones, and installation complexity. Example: "Standard server config ships in 5-7 days. Your custom RAID setup adds 3-5 days. Installation in your region typically takes 1-2 days." We develop the calculation methodology together - you know your operations, we encode the logic.
Customer Experience
This can be implemented as an additional feature if the configurator is accessible to your registered users. Requires user authentication (login system) to persist sessions securely. For anonymous visitors, sessions are temporary - once they close the browser, history is lost. Most B2B clients implement this; B2C clients often don't, depending on purchase cycle length.
Same requirement as above - needs user authentication. Once implemented, customers get a unique link or dashboard access to retrieve saved configurations. Useful for complex purchases with long decision cycles (enterprise infrastructure, industrial equipment) where stakeholders review specs over weeks. Less critical for faster sales cycles.
We can implement PDF generation as an optional feature. The PDF would include complete specification breakdown, pricing, visual diagrams (if applicable), terms and conditions, and validity period. Most clients request this for B2B scenarios where configurations get circulated internally for approval. Format and branding are fully customizable.
Depends on your methodology and design preferences. Two approaches: (1) Inline explanations - brief remarks next to each selected component ("Recommended based on your 50-user requirement and redundancy needs"), or (2) Detailed summary section explaining the entire configuration logic. We design this during implementation to match how your sales team currently explains recommendations.
Configurable, but standard output is an interactive, detailed commercial proposal. Think: visual product breakdown, specifications table, pricing with line items, compatibility confirmations, regulatory compliance notes, and next steps. Not a bare component list - a document your sales team would be proud to send manually. Design and content depth are tailored to your industry standards.
Yes, through validated alternatives selection. If the system recommended Component X, customer can view compatible alternatives (Component Y or Z) and swap them. The configurator recalculates pricing, and updates the proposal in real-time. What they can't do: break compatibility rules or bypass validation logic - the engineer agent prevents invalid configurations.
For Sales Teams
You have two options: (1) Instant email notifications containing the customer details, full conversation transcript, and the generated PDF quote. (2) Direct integration with your CRM (Salesforce, HubSpot, Pipedrive, etc.). In this case, the AI creates a new Lead or Deal, populates all fields, attaches the BOM (Bill of Materials), and assigns it to the correct rep based on your routing rules.
Once the configuration is exported to your CRM or Quote Management System, your team has full control to edit it. If you require a dedicated interface within the Co-Seller platform to tweak configurations before they reach your CRM (e.g., for a manager review step), we can develop a custom Admin Portal for your team as an add-on service.
Training is minimal because the AI handles the complexity. Your team doesn't need to learn how to operate the tool, only how to interpret its output. A single 60-minute demo session is typically enough to show them how to read the generated audit trails and follow up on the high-quality leads the system produces.
No, we intentionally designed the system without "live chat takeover." The goal is to automate the qualification process and free your engineers from being glued to a chat window. If the AI cannot resolve a query, it captures the context and creates a "Human Follow-up Required" task for your team to handle via email or phone.
Yes. This is a core part of our "No Black Box" architecture. Along with the quote, your sales team receives a logic log. You will see exactly why the system selected specific components (e.g., "Selected Model X because user requested >500GB throughput and redundant power supply"). This gives your reps the context they need to close the deal.
Yes. We can implement it as add-on for your system.
We provide raw data access so you can connect it to your existing BI tools (PowerBI, Tableau, Looker). Alternatively, we can build a custom performance dashboard for you that tracks conversion rates, average order value, popular configurations, and specific drop-off points in the conversation flow.
Design & Interface Customization
Yes. Basic customization (colors, logo, fonts, button styles) is included in the base package. If you have existing design guidelines, we'll match them. For fully custom UI/UX design built from scratch or complex design systems, we can provide that as an additional service - from €2,000.
Highly flexible within our component architecture. Think of it like this: we provide the engine, you control the exterior. Basic package covers color schemes, typography, spacing, and component positioning. Want something radically different - like a full-screen immersive experience or multi-step wizard instead of chat? That's custom design territory.
Absolutely. That's standard. Send us your brand assets (logo files, hex codes, font files or Google Fonts names) and design guidelines - we'll implement them precisely. If your brand uses custom fonts requiring licensing, you'll need to provide the web font licenses.
Yes, and it's free. No "Powered by" badges, no mentions of our company on your website unless you want them - only as our cases.
Yes, but it requires evaluating your site architecture first. If your site uses modern frameworks (React, Next.js), deep integration is straightforward. Legacy sites or complex design systems might need additional adaptation work. We'll audit your site during scoping and give you honest feedback on integration depth.
Implementation & Integration
Between 5 days and 6 weeks, depending on integration complexity and data readiness. Simple case: clean product database, standard website, minimal customization - 5-10 days. Complex case: data structuring needed, multiple system integrations, custom business logic - 4-6 weeks. We give you a precise timeline after the initial audit.
Depends on the track you choose. Minimum involvement: explain your sales methodology and product selection criteria (2-3 workshops), then embed the code on your site. Maximum involvement: collaborative work with sales, marketing, and technical teams to fine-tune conversation flows and validation logic. Most clients land somewhere in the middle - about 10-15 hours total across 2-3 weeks.
Not unless you're running full legacy systems with zero API access. For modern infrastructure, we handle everything - just provide access credentials. Even for older systems, if there's any way to connect (database access, file exports, APIs), we'll make it work. You focus on explaining your business logic; we handle the technical implementation.
Yes - that's exactly what Standard Deployment is for. Launch with one product line, validate performance, gather feedback, then expand. No need to configure your entire 5,000-SKU catalog on day one. Smart clients start with their highest-margin or most complex products.
We deploy a dedicated server in our private cloud (AWS/Azure) configured specifically for your catalog and business logic. On your website, integration happens via JavaScript snippet or iframe - similar to embedding a chat widget or analytics tool. Takes 10 minutes for your web team to implement. No backend changes to your existing site required.
Yes. Shopify and WordPress are straightforward. Custom CMS platforms work as long as they allow JavaScript or iframe embedding (which 99% do). We'll verify compatibility during the initial audit.
Absolutely. We build native integrations with major CRM platforms. New configurations can automatically create leads/opportunities with full specification details, conversation history, and qualification scores. No manual data entry - your sales team gets complete context instantly.
Your choice: (1) Email notifications with configuration details and customer contact info, or (2) Direct creation of leads/opportunities in your CRM with all specs attached. Most clients prefer CRM integration - keeps everything in one system, maintains proper lead tracking.
Security & Data
For the standard cloud model, we deploy your instance in our private, isolated cloud environment on AWS or Azure (typically Frankfurt or Ireland regions for European clients). Your data is isolated from other clients - we do not use shared databases for distinct customers.
Yes. We adhere to strict data processing agreements. Crucially, our architecture separates Personal Identifiable Information (PII) from the AI logic. The AI agents process technical requirements and product selection rules; they do not retain customer PII for model training. Customer contact details are encrypted and stored only for the purpose of generating the quote and handing it off to your sales team.
First, on the principle of data minimization: we rarely need your internal margins or costs - only the final pricing visible to the customer. Second, our dual-agent architecture acts as a firewall. The "Interviewer" agent talks to the client but doesn't have direct access to your database. The "Engineer" agent queries the database but doesn't talk to the client. This structure prevents "prompt injection" attacks (where users try to trick the AI into revealing hidden data).
Access is strictly limited to your authorized team members and a select group of R[AI]SING SUN senior technical staff for maintenance and support purposes only. We implement strict access controls and all our staff are bound by comprehensive NDAs.
Yes. This is covered by our Enterprise On-Premise model. We package the solution (Docker/Kubernetes containers) for deployment within your own perimeter, giving you total data sovereignty.
It comes down to Data Sovereignty vs. Managed Convenience.
On-Premise: You have absolute control. Data never leaves your physical servers or your private VPC. This is often required for defense, government, or highly regulated banking sectors.
Standard Cloud: We manage the security. We use enterprise-grade encryption and best practices on AWS/Azure, but technically the data is processed on our managed infrastructure. For 95% of commercial businesses, this offers the best balance of security and ease of maintenance.
Performance & Limits
We do not impose hard caps that shut down the service. Your monthly infrastructure fee covers a baseline volume of interactions (defined in your contract). If you exceed this volume, the system continues to function perfectly, and we simply apply a pre-agreed overage fee for the additional traffic. It is a "pay-as-you-grow" model, ensuring you never miss a lead due to arbitrary limits.
The system is designed to absorb it. Because we utilize serverless and containerized cloud architecture, resources are allocated dynamically. Whether you have 10 visitors or 1,000 simultaneous users, the response time remains stable.
The technical generation of the BOM and Quote happens in milliseconds. However, the total user journey - from the first "Hello" to the final proposal - typically lasts between 2 to 12 minutes. The duration depends entirely on the complexity of your product and the depth of the "Interviewer" agent's questions. This is a massive improvement over the traditional 3-7 day turnaround.
Yes. The system is monitored continuously and designed for high availability. This allows you to capture qualified leads and generate complex quotes during weekends, holidays, or from time zones where your engineering team is offline.
We can employ Horizontal Autoscaling as an add-on. When our monitoring detects a surge in concurrent sessions, the infrastructure automatically spins up additional instances of the agent containers to handle the load. Once traffic normalizes, it scales back down. You don't need to notify us in advance of marketing campaigns - the system adapts automatically.
Analytics & Reporting
We provide a clear view of your pre-sales funnel. Key metrics include:
- Engagement: Number of conversations started vs. website visitors.
- Conversion: Number of completed configurations vs. drop-offs.
- Lead Gen: Number of validated contact details captured.
- Qualitative Data: Full access to anonymous chat logs. This allows you to "listen" to your market and see exactly how customers describe their needs in their own words.
Yes. Because the interaction is structured (Introduction → Needs Analysis → Technical Selection → Budget → Contact), we can pinpoint exactly where you lose engagement. For example, if 40% of users leave when asked about "Budget," we might advise moving that question to a later stage in the flow.
It acts as a "Demand Sensing" tool. We track two layers of preference:
Selection Frequency: Which components are chosen most often by the AI based on user needs.
User Modifications: Which components users manually swap out most frequently. (e.g., If users constantly downgrade the CPU you recommend, it signals price sensitivity).
Yes. All data belongs to you. We can provide raw data exports (CSV/JSON) or set up API pipelines to feed your data warehouse. Note: If your internal BI system requires a specific non-standard schema, we may need to perform some data mapping/adaptation work during integration.
Yes. You have a complete historical audit trail. You can review decisions made last week, last month, or last year. This is crucial for analyzing seasonal trends or auditing why specific legacy products were recommended during a past period.
Support & Maintenance
Your monthly fee covers Proactive Monitoring and Standard Technical Support. We monitor the infrastructure 24/7 to ensure uptime and performance. If the system goes down or an API connection breaks due to a server error, fixing it is on us. Non-critical support (e.g., "How do I change this setting?") is also included. Content management or methodology changes are handled via separate requests.
Response times are defined in your Service Level Agreement (SLA). Our Standard SLA guarantees:
- Critical Incidents (System Down/Bugs): Initial response within 4 hours.
- General Inquiries: Response within 1 business day.
Note: Enterprise clients can negotiate custom SLAs with faster reaction times or 24/7 dedicated support.
Absolutely. We view our relationship as an evolving partnership. If you need new functionality (e.g., a complex ROI calculator, a specific visualizer, or a new integration), we treat this as a Change Request. We will scope the requirements, provide a fixed-price quote and timeline for the development, and deploy it to your instance upon approval.
Ready to Stop the Pre-Sales Ping-Pong?
Let's discuss how Universal AI Configurator can transform your complex sales process. We'll show you exactly how it works with your catalog and answer any questions.
What happens on the call:
→ We understand your product complexity and catalog structure
→ We show you the configurator with examples relevant to your industry
→ We walk through how the dual-agent architecture works
→ We discuss integration options (chat widget, API, or embedded)
→ We answer questions about accuracy, customization, and deployment
→ We give honest assessment if it's a good fit for your use case
What you won't get: Generic demos, one-size-fits-all promises, technical jargon without explanation.
If it's not right for your catalog complexity, we'll tell you. If it is, we'll map out exactly how implementation would work.
Prefer email first? Send us details about your catalog: hi@r-sun.ai