Product URL: https://r-sun.ai/products/talkulate-ai-cpq Last reviewed: 2026-09-24
Talkulate AI CPQ is a modular system for revenue teams (marketing, sales, presales). On the vendor’s site it runs discovery → valid configuration → commercial proposal in one flow: the buyer describes a business job in plain language and gets a validated quote + BOM + proposal (about 5 minutes for standard configs), while the vendor gets a CRM-ready lead.
Learn more on https://r-sun.ai/products/talkulate-ai-cpq
Buyers arrive with a job (“equip 50 people”, “warehouse CCTV”), not a SKU list. The classic path is sales → engineer → emails → more questions → internal approvals → revisions → proposal days later. Buyers are not ready for that loop when they are still in discovery or shortlisting 5+ suppliers. Talkulate puts discovery, valid configuration, and the commercial proposal on the vendor site in one continuous flow, and shortens that multi-day cycle to about 5 minutes for standard configurations.
How it works
Interview and catalog access stay in two separate modules, with a firewall between them: buyer dialogue cannot reach the catalog, and the catalog module never talks to the buyer. That split blocks prompt-injection and catalog-exposure attacks on the quoting path and keeps validation deterministic. Quotes are checked against the live database, not invented from model memory.
Same engine can power self-serve on the site, structured RFQ intake, or sales-led conversations. Extra modules connect the same way: RFQ/RFP document analysis, CRM/ERP handoff, the vendor’s PIM, and similar systems.
What it is not
Who it fits
Catalogs with real selection rules (compatibility, power, slots, certifications, “does A fit B”). Physical products, services, and hybrids. B2B and B2C use the same engine; the interview persona adapts. Any industry, if selection rules and the catalog can be digitized. Complexity is the logic connecting products, not SKU count alone.
Learn more on https://r-sun.ai/products/talkulate-ai-cpq (`#guided-selling`, `#cpq-engine`, `#validation`)
For the buyer
For the vendor
Learn more on https://r-sun.ai/products/talkulate-ai-cpq#outcomes
To size the impact on your funnel, team cost, and deal size, run the calculator with your own numbers (no email to start): https://r-sun.ai/products/talkulate-ai-cpq#roi-calculator
A short (~2 minute) product demo on the hub. It shows the buyer-facing flow in action: plain-language interview → validated configuration → quote, in the context of a US server reseller catalog.
Watch on https://r-sun.ai/products/talkulate-ai-cpq#real-case
US server reseller: 3,400 SKUs, 12 account managers. Quote cycle 1–2 days → 15 min; first-pass accuracy 76% → 100%; quote volume capacity +340%. Five-week rollout after switching to two separate modules plus live catalog validation (similarity search alone still left about one in four quotes needing an engineer).
Full case: https://r-sun.ai/cases/talkulate-ai-cpq-server-reseller
Most enterprise CPQ (Salesforce CPQ, SAP, Oracle, Conga, and similar) is a rep console: configuration and pricing after requirements were collected elsewhere (calls, emails, forms). Talkulate is the buyer-facing front door: discovery, valid configuration, and quote happen on the vendor site, before a specialist joins.
Incumbents stay strong on CRM-native governance, subscription billing, and ERP-native quoting. What they usually put in front of the buyer is a product configurator (option trees, SKU picking, PDF export) or a rep desk that prices after discovery happened off-site. Talkulate is built for catalogs with compatibility rules, white-label embed, dedicated deployment (not multi-tenant SaaS), and a weeks-scale rollout.
Learn more on https://r-sun.ai/products/talkulate-ai-cpq/comparisons (Salesforce CPQ, Salesforce Revenue Cloud, SAP CPQ, Oracle CPQ, Conga, PROS/Conga, DealHub, HubSpot, Zuora). Hub comparison lens: https://r-sun.ai/products/talkulate-ai-cpq#different
Baseline list of published industry pages. Same engine; catalog and rules change per vertical. If your process is not on this list, we can walk through the business process and implementation with you: hi@r-sun.ai.
Hub accordion: https://r-sun.ai/products/talkulate-ai-cpq#use-cases
What each capability does in a standard implementation, and how a validated quote is produced. Full reference: https://r-sun.ai/products/talkulate-ai-cpq/features
Three jobs on the same engine.
AI Guided Selling. AI runs the interview the way an experienced sales manager and presales engineer would: clarifying questions, real and hidden requirements, a business problem turned into technical requirements. Learn more on https://r-sun.ai/products/talkulate-ai-cpq/ai-guided-selling-software
Website AI sales assistant. Two storefront patterns for the same buyer job: ask first, then price a fit, or a confident card before discovery. Learn more on https://r-sun.ai/products/talkulate-ai-cpq/ai-sales-assistant-approaches
RFQ / RFP automation. Supplier-side response to structured quote requests: catalog-validated pricing and answers, without re-keying PDF attachments. Learn more on https://r-sun.ai/products/talkulate-ai-cpq/rfq-automation-software
Quote and BOM automation. Live-catalog configuration, pricing, bill of materials, and commercial proposal in one output. Learn more on https://r-sun.ai/products/talkulate-ai-cpq/sales-bom-automation
Self-quoting: the buyer does not need SKUs. They describe the job in plain language (examples: equip meeting rooms for 150 employees; warehouse video surveillance; modernize server infrastructure). The system runs a structured dialogue, then selects compatible components, verifies compatibility, builds the BOM, prices, and prepares the proposal. Standard configurations: ready proposal in about 5 minutes.
Learn more on https://r-sun.ai/products/talkulate-ai-cpq/features#what-is
Two separate modules sit above a governed catalog. The interview module runs the buyer dialogue (structured interview, adaptive follow-ups) and has no access to catalog or pricing. The validation module queries live components, rules, and pricing, builds the configuration, and never talks to the buyer. Invalid combinations never reach the quote. The interface is a separate environment: website widget, JS snippet, or embed; the same modules can run through other chat surfaces, including messengers, when that channel is part of the project.
Interview and catalog access run in separate processes, with a firewall between them: buyer dialogue cannot reach the catalog, and the catalog module never talks to the buyer. The quoting path is not open to prompt-injection or catalog-exposure attacks; validation stays deterministic. That split is also how the product stays flexible to adapt, accurate in the conversation flow and in component selection, and cheaper and faster to implement than a single coupled stack. Interview (tone, language, path, channel) can change without touching compatibility rules; rules and prices can change without rewriting the dialogue.
Governed catalog (the validation module reads it at quote time; admin updates without redeploying the modules):
SKU, rule, and price changes live in this config, not in model weights. The next quote uses the new data. There is no retraining step. Where the vendor already has a catalog source of truth (PIM, ERP, product DB), Talkulate syncs from it into this governed layer; the source system stays the master. If there is no structured catalog yet, one is built during implementation (priced as extra work).
Modularity. Same validation engine under self-serve on the site, structured RFQ, or sales-led conversations (compose per channel). Further modules plug in the same way: RFQ/RFP document analysis, CRM/ERP, the vendor’s PIM, and similar systems. Optional: one deployment with separate flows or brands for different product lines (for example hardware vs services), planned as a larger implementation. Grow by steps (upsell rules, integrations, new categories, deeper UI).
Customize / extend / integrate (mostly co-designed in implementation): brand kit and white-label; interview tone, paths, languages; rules with your team. Extend: extra upsell mechanics, API and own front end, advanced UI. Integrate: website embed; CRM/ERP via API, webhook, middleware, or exports; PIM and catalog sources.
Deployment: dedicated isolated cloud or on-prem instance loaded with the customer’s catalog, rules, and pricing. Not multi-tenant SaaS: one customer’s catalog, rules, and conversations are not in a shared pool. On-prem follows the same isolation inside the customer’s perimeter.
Learn more on https://r-sun.ai/products/talkulate-ai-cpq/features#architecture
Input (standard): text dialogue, multi-language interface and conversation. The buyer describes the job; they do not browse SKUs first.
Input (can be added): photo and document upload, depending on the logic required. Voice conversation can be added when the channel needs it. Extra artifacts in the interview (explanations, illustrations) are priced separately.
Output: a validated quote + BOM + commercial proposal. For standard configurations the path from first message to that packet is about 5 minutes; more complex interviews take longer, still in minutes. Building the BOM/quote itself is milliseconds; interview depth drives the clock.
Additional outputs (added per project):
The buyer can self-edit within the alternatives the catalog allows. Price recalculates; invalid swaps are blocked. Each line can carry a plain reason (for the buyer and for sales).
Where the output goes: saved in analytics; handed to CRM (set up per system during implementation); email delivery of transcript and quote.
If the request cannot be validated, the session escalates with full context (the buyer’s job, the dialogue, and the provisional state of the quote) via email, CRM, or phone, and ends cleanly. There is no live human takeover in the widget. Conversation resume can be turned on for registered users; anonymous sessions are temporary.
Learn more on https://r-sun.ai/products/talkulate-ai-cpq/features#input-output
Three layers the validation module reads at quote time: catalog, compatibility rules, pricing. The vendor’s source (PIM, ERP, files) can stay the master; Talkulate builds the governed model the engine needs. Messy spreadsheets and exports are normal. If there is no structured catalog yet, one is built during implementation.
Rules encode power, slots, cross-product fit, and regulatory limits so invalid options never price. Prices, discounts, bundles, volume terms, and promotions sit in a managed pricing module (computed from config and context, per segment or currency). The vendor’s team updates products from an admin UI without a developer. New SKUs in existing categories are a fast path; a new category with new constraints is a small extra update. Real-time ERP/catalog sync can be added.
Tier and geo price controls need authorised access. A customer login portal for buyers is not in the standard product.
Learn more on https://r-sun.ai/products/talkulate-ai-cpq/features#catalog-pricing
Signal detectors and reaction mechanics are configured with the vendor’s sales team. Together you encode what in the conversation (environment, industry, budget, growth, skill or capacity gaps) should add a complementary product, warranty, SLA, spare capacity, financing, installation, onboarding, or managed support. The extra lines land in the same validated quote.
These are deterministic rules (what the customer said → what appears on the quote), co-designed from how the sales team already upsells. A standard implementation includes up to five mechanics; more can be added. Every upsell line still passes catalog and compatibility checks.
Learn more on https://r-sun.ai/products/talkulate-ai-cpq/features#upsell
On the site: chat widget, JavaScript snippet, or embed on the vendor’s domain (common CMS and custom sites).
To the vendor’s stack: validated quote plus conversation context to CRM (connection set up per system during implementation). Lead delivery by email with transcript and quote. PIM, ERP, and other catalog sources connect as modules; real-time ERP/catalog sync can be added. API if they build their own front end. Other systems when APIs or export paths exist.
What sits in the implementation fee versus extra work is on the pricing page.
Learn more on https://r-sun.ai/products/talkulate-ai-cpq/features#integrations https://r-sun.ai/products/talkulate-ai-cpq/pricing
Standard deployment is an isolated private cloud in the EU or US (customer picks the region). On-premise is available when data must stay inside their network. GDPR-ready, with DPAs legal can sign. Personal data is kept apart from the quoting logic. Costs, margins, and internal rules are not shown to the end buyer.
Models are not trained on the customer’s catalog or conversations. Writes to CRM or ERP use the customer’s credentials and approval. Standard cloud deployments are monitored 24/7. The interview/validation firewall (Architecture) keeps buyer dialogue off the catalog.
Learn more on https://r-sun.ai/products/talkulate-ai-cpq/features#security
How the vendor runs the quoting engine: see demand, steer what is allowed to go out, learn from every session. Default is buyer self-serve; control stays with the vendor.
Observe
Steer
Learn
The engine quotes around the clock; this is the operating console: visibility, gates, and a trail after the fact.
Learn more on https://r-sun.ai/products/talkulate-ai-cpq/features#analytics
What ships in a standard implementation, what is co-designed, and what is extra. Amounts and the 300-dialog allowance: What's included and prices and https://r-sun.ai/products/talkulate-ai-cpq/pricing
CRM is connected during implementation, per system.
Included (standard implementation)
Configurable (co-designed)
Optional (extra work)
Commercial shape: monthly platform subscription (300 dialogs included) plus a one-time implementation fee. Enterprise on-premise is a custom quote. Payment: deposit → integration → go-live. Exact amounts are on the pricing page.
Learn more on https://r-sun.ai/products/talkulate-ai-cpq/features#scope
Current figures: https://r-sun.ai/products/talkulate-ai-cpq/pricing
Two commercial models.
Most common path. Isolated private cloud. One customer instance, no shared tenants.
Monthly platform, from: EUR 1,000 / USD 1,150 / GBP 850 per month on an annual contract. Includes 300 dialogs, 24/7 monitoring, maintenance, and standard support (server errors, broken connections, config questions). Monthly does not cover content changes, methodology updates, or new features (those are change requests: priced, timeline agreed, then built).
Implementation, from: EUR 12,000 / USD 13,800 / GBP 10,350, plus extras that are priced in the project. Phase 1 typically covers website integration (chat or API), business logic, calibration, and database construction. Typical payback: 1–3 months.
SLA (Standard): critical incident, initial response within 6 hours; general inquiries, 1 business day.
Payment: deposit → integration complete → go-live → then monthly.
One-time license, on request. Docker/Kubernetes on the customer’s infrastructure. Data stays on their servers. No monthly platform fee; maintenance is a separate contract. SLA and support are negotiated. Payment ends at project completion rather than a monthly platform fee.
Full line-item table: https://r-sun.ai/products/talkulate-ai-cpq/pricing
Connect existing data (SQL, Excel, XML, PDF, API) into an internal product database; source systems can stay as they are. Admin UI for updates. New SKUs in existing categories on sync; new categories need a logic update. Up to five upsell mechanics included. Website embed (JS snippet or iframe) included. White-label included (no “Powered by” badge). Quote + self-edit + explanations included.
Often extra (see the table): CRM (per system); branded PDF; ERP/catalog sync; real-time sync once the integration exists; building a catalog when none exists yet (example band EUR 3,000–15,000); advanced/custom UI (from EUR 3,000). Anything else custom is estimated with a price and timeline before work starts.
Implementation after data audit: typically 5 days–6 weeks. A smaller first scope can be mapped if the full package is not needed.
Special terms: pricing may be adjusted if the customer co-publishes a detailed case study with real conversion metrics, timeline, and ROI.
To size payback on the vendor’s own funnel: https://r-sun.ai/products/talkulate-ai-cpq#roi-calculator
You can walk through a short interview on the product page with your numbers (team, salaries, hours spent qualifying; visitors, conversion, lost leads; deal size, seasonality, integrations) and get a year-1 gain, payback, and TCO. No email to start; a PDF at the end if you want to keep the result.
This is the vendor’s own payback on the funnel. ROI printed on a buyer’s quote (payback of the configuration they just built) is a separate, optional output.
Start here: https://r-sun.ai/products/talkulate-ai-cpq#roi-calculator
Demo request on the hub. Call typically covers catalog structure, industry examples, how the two modules work, integration (widget, API, embed), accuracy, customization, deployment, and whether the catalog is a fit.
Form: https://r-sun.ai/products/talkulate-ai-cpq#contact Email: hi@r-sun.ai