Embedded AI configurator interviews your customer, matches components from your live catalog, and delivers a validated quote in 15 minutes.
The agent asks clarifying questions — like an experienced sales manager. No forms, no technical jargon. Adapts to your industry and terminology.
“We need a server setup for ~50 people. Budget around €20k.”
Checks compatibility, finds matching components, applies your constraints — directly from your live database. Not guessing. Validating.
The agent asks clarifying questions — like an experienced sales manager. No forms, no technical jargon. Adapts to your industry and terminology.
“We need a server setup for ~50 people. Budget around €20k.”
Checks compatibility, finds matching components, applies your constraints — directly from your live database. Not guessing. Validating.
3,400 SKUs. 12 account managers. Quotes that took 1–2 days — and cost deals.
Engineer review step eliminated — zero hallucinations — 5 weeks to production
Client needs a quote by EOD. Your engineer is in 3 back-to-back meetings. Product compatibility data is scattered across multiple Excel files.
Company wants to insure 40 vehicles — different classes, drivers, risk profiles. Account manager spends a full day collecting data and aligning rates across underwriters.
Customer wants throughput specs, payload capacities, and PLC integration details. Your sales team needs engineering expertise to answer basic questions.
Prospect wants ROI projections, regulatory compliance proof, and installation timelines. Data scattered across vendor tools and spreadsheets.
Hospital needs equipment that matches sterilization requirements, patient volume, and regulatory standards. Manual selection risks choosing incompatible or non-compliant components.
Customer wants a mountain bike, hi-fi system, or home solar setup. Hundreds of SKUs with compatibility constraints. They can't navigate alone and support is overwhelmed with basic questions.
Most AI chatbots guess. Ours doesn't. Every component in the configuration comes directly from your database. Incompatible combinations are physically impossible — blocked by explicit rules.
If the power supply can't handle the configuration — the agent won't propose that build.
If a component hasn't passed medical certification — the agent excludes it automatically.
We implement custom product databases and validation logic for each client. That's what makes 100% accuracy possible — and what takes most of the integration time.
AI Guided Selling reads every signal your customer drops — budget hints, missing systems, hidden constraints. Captured automatically. Validated against your catalog. Converted into margin. Every session. Without a sales manager.
When the customer drops contextual signals — work mode, industry, operating environment — AI adds the supporting hardware they didn’t think to ask for: VPN appliances for remote teams, encrypted storage for regulated sectors, redundant power for high-load setups.
Complementary SKUs + validated bundles
When the customer reveals what they have to lose — mission-critical workload, growth plans, a tight budget — AI surfaces protection and financing options: extended warranty, SLA tiers, capacity headroom, installment plans. Each line carries its own cost-of-not-doing math.
Warranty + SLA + capacity + financing options
When the customer reveals skill or capacity gaps in their team, AI bundles the services that turn hardware into a working system: installation, rack-and-stack, onboarding, managed support, training — each tied to the customer’s own answer.
Installation + onboarding + managed support
3 mechanics shown.
Unlimited rules when we build for you.
Every signal-to-SKU rule is wired to your catalog, your pricing logic, and your industry constraints. We co-design the upsell triggers that actually move revenue in your business — then encode them as deterministic rules inside the AI agent. No generic templates, no guesswork.
The complete capability set on one page, built to survive due diligence.
Interactive comparison across three perspectives. Click on any point to see detailed analysis.
Select a point
Click on any marker to compare
Select a point
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Quoting & guided-selling comparisons,
one scoring methodology
The quadrant above is a quick lens. For criterion-by-criterion vendor pages — CPQ, quoting, and AI guided selling — with coexistence, pricing posture, and fit, open the full comparison hub.
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.
The AI doesn't show rigid forms. It reads context, asks the right questions, and adapts the conversation to each customer's situation in real time — no technical jargon, no dead ends.
Two specialized agents work in sync. One handles the conversation, the other validates against your live database. Every component selection is mathematically checked — incompatible builds are physically impossible.
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.
No off-the-shelf widget. We design the conversation flow, UI, copy and visual identity around your brand — chatbot tone of voice, quote layout, PDF design, integration touchpoints. Every prompt and every pixel is built for your business, not pasted from a template.
Customer signals — budget hints, missing systems, growth plans, hidden constraints — convert into validated upsell SKUs in real time. Warranty, capacity, services, financing: each line tied to what the customer actually said. Margin captured every session, not only when your best rep remembers to ask. See the 3 mechanics →
Turn complex product configuration into a 15-minute guided flow that generates qualified quotes automatically.
Full comparison table, payment roadmap
and commercial terms
See a feature-by-feature breakdown for Standard vs On-Premise and understand exactly what’s included.
Cloud deployment. Most common path for rapid market entry.
Typically pays back in 1–3 months
One-time license
For strict data sovereignty requirements. Full control, deployed on your infrastructure.
Thinking it's pricey?
One presales engineer costs more per year. AI CPQ cost less.
Don't need everything?
We'll map the minimum viable implementation and price it accordingly.
Built for GDPR. Your data won't leak, and you won't explain anything to regulators.
One EU entity. One contract. No subcontractors in unclear jurisdictions.
EU or US hosting. You decide.
Your infrastructure, your control. Full deployment on your servers — no data leaves your network.
Your data is encrypted at all times. Same protection level used by banks.
Your data is never used to train AI models. What you share stays exclusively yours.
Dive deeper: CPQ, industries, and how it works in practice.
The essentials readers ask before booking a demo. For the full FAQ (all categories), open the dedicated FAQ page.
Base package includes deployment of our AI CPQ (Configure‑Price‑Quote) 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.
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 Talkulate AI CPQ — built for deterministic configuration and quoting. If you sell sneakers or simple retail items, Talkulate AI CPQ is overkill; we can deploy a specialized AI Search Engine instead for semantic search and visual discovery.
It is agnostic. The core engine remains the same, but the Interviewer Agent adapts its persona: for B2B it focuses on technical specs, compliance, and audit-ready documentation; for B2C it acts as a guide, educating the customer and translating jargon into benefits (e.g. helping a homeowner choose a heat pump).
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 that supports AI product configuration. This is billed separately - typically $3,450-$17,250 depending on catalog complexity and data volume.
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 for your AI RFQ (Request for Quote) → quote workflow.
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.
Let's discuss how Talkulate AI CPQ 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 Talkulate AI CPQ 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: [email protected]