Client describes the job in plain language. A short scoping flow returns a validated server BOM in 15 minutes — for IT resellers and VARs, no presales engineer in the queue.
Same catalog. Same team. Three leaks: speed, capacity, conversion.
Client sends an RFQ with a Friday deadline. Presales is booked until Wednesday. You reply with a holding note. Two integrators deliver validated BOMs on Tuesday. You never make the shortlist.
12 account managers, 3 presales engineers, 3,400 SKUs. Every quote needs engineer sign-off. Sales cannot grow faster than engineering headcount.
Client needs a server for a database workload or a VM cluster. They see Tower, Rack, GPU, Storage — and leave. You have the SKU. They cannot find the door.
One entry for every workload: client describes the job, answers focused questions, gets a validated BOM — no Tower/Rack/GPU maze.
Calculate your ROINo catalog browsing. No discovery call. Paste the RFQ or open a chat — a short scoping flow, then a validated server BOM.
“Need a database server for ~200 users, N+1 redundancy, 2U rack, budget around $40k.”
Follow-ups driven by what the client already said — not a generic attribute matrix.
Paste an RFQ email, forward a ticket, or start a chat — no SKU knowledge required.
Every line checked against your catalog — CPU, memory, PSU, slots, power budget.
A real server reseller inquiry. First message to validated BOM. Run time: ~2 minutes.
Before Talkulate, standard quotes waited on presales. After catalog validation, account managers quote routine configs independently.
We tried RAG first. About one in four configs still had an error an engineer had to catch. Direct database validation removed the review step on standard builds.Head of Presales Engineering, US Server Reseller
One reference deployment. Results vary with catalog size and channels.
Conversational guided selling for IT hardware. Every server sales BOM queries your live catalog — real stock and compatibility rules, not document retrieval.
Three steps from plain-language request to validated server BOM.
Paste the client message or open a new inquiry. Focused scoping: workload, redundancy, rack, budget. 6–10 questions, 4–8 minutes.
Engineer Agent queries your live catalog. CPU, memory, power, slots — checked mathematically. Validated server sales BOM or flagged edge case.
Draft quote with BOM in your CRM or quote pipeline. Non-standard requests route to presales via team chat with full context.
Presales engineers stay on edge cases only: unusual form factors, custom power, multi-site. Standard database, VM, NVR, and ERP configs run without engineer involvement.
Questions about integration or catalog format? See technical FAQ
See payback for your quote volume — how many leads you lose to speed today, and what changes when account managers quote without presales in the queue. Typical server reseller: 8–15 account managers, 40–120 leads/month.
Choose the implementation path that fits your organization
One presales engineer ≈ $86,400+/year loaded. Talkulate: implementation + monthly — break-even in 5–10 deals lost to speed.
Phase 1 includes database construction & population services. Data structuring is our job.
5 days with a clean catalog. Reference: 5 weeks for 3,400 SKUs with CRM and team-chat integrations. Exact timeline after free data audit.
Talkulate sits upstream of CPQ — workload to validated BOM, then draft quote in your CRM. We do not replace your approval workflow. details in FAQ
Agile implementation + Cloud scale. Most common path for rapid market entry.
One-time license
For strict data sovereignty requirements. Full control, deployed on your infrastructure.
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.
Special pricing available: Adjusted investment terms for organizations willing to participate in a detailed public case study with real conversion metrics and ROI data.
Server quoting, BOM validation, and implementation — what VAR teams ask before the call. Product-wide topics live on the full FAQ page.
For standard workloads — database, VM host, NVR, ERP — yes. Client describes the job; the system scopes in 6–10 questions and returns a validated server BOM in ~15 minutes. Reference deployment: routine configs run without engineer sign-off. Anything non-standard routes to presales with full context — no guessed BOM.
Clients arrive with a workload ("database for 200 users", "24-node VM cluster"), not a chassis category. They hit Tower / Rack / GPU / Storage and leave. One conversational entry maps the workload to the right line and compatible SKUs. Your line-specific configurators stay for deep-dive flows.
The Engineer Agent queries your live product database: CPU socket, memory type and capacity, PSU wattage, PCIe slots, power budget, rack units — constraint math, not document similarity. Incompatible combinations never reach the quote. Reference deployment: first-pass accuracy 76% → 100% on standard builds.
RAG retrieves similar documents — it does not validate constraints. In the reference deployment, ~1 in 4 RAG configs needed engineer correction. Direct database validation removed the review step on standard builds. Engineers stay on edge cases only.
Standard: database, VM cluster, NVR, ERP, single-site rack or tower with known redundancy and power. Edge: unusual form factors, custom power draw, multi-site, bespoke interconnect. Edge cases flag to presales via team chat with the full conversation — no invalid BOM auto-sent to the client.
No. Talkulate sits upstream: workload → validated BOM before your rep opens the product catalog. Draft quotes push to your CRM or CPQ. Discounting, margin rules, approval chains, and contract terms stay in your existing tools.
Yes. Phase 1 includes database construction and population — we ingest SQL, Excel, XML, PDF, or API exports and build an internal product DB with compatibility rules. Reference reseller: 3,400 SKUs, 5 weeks kick-off to production. Exact timeline after a free data audit.
Yes. Your full catalog and cross-product compatibility rules load into one database. Use-case mapping ties workloads to valid combinations across server, storage, and network lines — single-vendor or multi-vendor, same entry and same validation engine.
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.
Walk through the reference deployment, your quote volume, integration options, and a realistic go-live timeline.
30-minute call. No pitch deck.