Servers

Server quoting in 15 minutes. Not two days.

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.

15 min
Workload to validated server BOM
+340%
Quote volume capacity
0
Engineer fixes on standard configs

Why server resellers lose quotes to faster competitors

Same catalog. Same team. Three leaks: speed, capacity, conversion.

The Speed Loss

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.

The Engineering Ceiling

12 account managers, 3 presales engineers, 3,400 SKUs. Every quote needs engineer sign-off. Sales cannot grow faster than engineering headcount.

The Configurator Maze

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 ROI

Client describes the job. System returns the spec.

No catalog browsing. No discovery call. Paste the RFQ or open a chat — a short scoping flow, then a validated server BOM.

On your site

Client · plain language

Need a database server for ~200 users, N+1 redundancy, 2U rack, budget around $40k.

Scoping · 6–10 questions

Follow-ups driven by what the client already said — not a generic attribute matrix.

  • Active-active or N+1 failover?
  • Preferred rack depth and PSU redundancy?
  • Expected storage and growth in 24 months?

Paste an RFQ email, forward a ticket, or start a chat — no SKU knowledge required.

Validated server BOM

Every line checked against your catalog — CPU, memory, PSU, slots, power budget.

ComponentQty
2U rack chassis1
Dual-socket CPU2
128 GB RDIMM kit4
Redundant PSU 800W2
~30 sec
First message
4–8 min
Scoping
~15 min
To validated BOM

Server quoting in 15 minutes — real workload, validated BOM

A real server reseller inquiry. First message to validated BOM. Run time: ~2 minutes.

Documented deployment

US Server Reseller · 3,400+ SKUs

Before Talkulate, standard quotes waited on presales. After catalog validation, account managers quote routine configs independently.

Quote cycle time
1–2 days
15 min
First-pass accuracy
76%
100%
Quote volume capacity
baseline
+340%
~22 h/week
Presales time freed (3 engineers)
5 weeks
Kick-off to production
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.

Most AI server configurators guess. This one validates.

Conversational guided selling for IT hardware. Every server sales BOM queries your live catalog — real stock and compatibility rules, not document retrieval.

What your client sees

Three steps from plain-language request to validated server BOM.

01

Describe the workload

Paste the client message or open a new inquiry. Focused scoping: workload, redundancy, rack, budget. 6–10 questions, 4–8 minutes.

02

Validate against your catalog

Engineer Agent queries your live catalog. CPU, memory, power, slots — checked mathematically. Validated server sales BOM or flagged edge case.

03

Deliver to your pipeline

Draft quote with BOM in your CRM or quote pipeline. Non-standard requests route to presales via team chat with full context.

What runs under the hood

RAG / document tools
  • Similarity matching on PDFs and datasheets — not constraint math
  • ~1 in 4 configs look right until an engineer checks compatibility
  • Engineers stay mandatory on every quote
Talkulate AI CPQ
  • Queries your live product database directly — every line validated in real time
  • Incompatible PSU, slot, or power budget: configuration never reaches the quote
  • Standard configs: zero engineer time. Edge cases escalate automatically

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.

Read-only catalog connection or a separate copy for our architecture. No production writes. No model training on your data. US/EU hosting; on-prem available. How we handle your data

Questions about integration or catalog format? See technical FAQ

Get your ROI estimate

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.

Loading ROI calculator

What does server quoting software cost?

Choose the implementation path that fits your organization

Too expensive?

One presales engineer ≈ $86,400+/year loaded. Talkulate: implementation + monthly — break-even in 5–10 deals lost to speed.

Catalog not ready?

Phase 1 includes database construction & population services. Data structuring is our job.

5–10 days too long?

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.

Already have CPQ?

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

PRICE

Standard Deployment

$18,400+

Agile implementation + Cloud scale. Most common path for rapid market entry.

Phase 1: Implementation
  • Direct website integration (Chat or API)
  • Business logic customization
  • System calibration
  • Database construction & population services
Then: Monthly Infrastructure
$1,725+/month
  • Managed cloud hosting
  • Updates & maintenance included
  • Scales with request volume

Enterprise On-Premise

One-time license

On request

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

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.

Full pricing page
!

Special pricing available: Adjusted investment terms for organizations willing to participate in a detailed public case study with real conversion metrics and ROI data.

Quick FAQ

Server quoting, BOM validation, and implementation — what VAR teams ask before the call. Product-wide topics live on the full FAQ page.

Open full FAQ

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.

Deployed with US server reseller · 3,400+ SKUs · CRM + team-chat integrationsView case study
Architecture, integration, full feature setFull product page

Why Companies Trust R[AI]SING SUN

COMPLIANCE

GDPR Compliant

Built for GDPR. Your data won't leak, and you won't explain anything to regulators.

LOCATION

EU-Based Company

One EU entity. One contract. No subcontractors in unclear jurisdictions.

HOSTING

EU/US Servers

EU or US hosting. You decide.

DEPLOY

On-Premise Available

Your infrastructure, your control. Full deployment on your servers — no data leaves your network.

SECURITY

Data Encrypted

Your data is encrypted at all times. Same protection level used by banks.

PRIVACY

No Data Training

Your data is never used to train AI models. What you share stays exclusively yours.

Ready to scope your implementation?

Walk through the reference deployment, your quote volume, integration options, and a realistic go-live timeline.

  • Reference case: US server reseller, 3,400+ SKUs
  • Integration: chat widget, API, or embedded page
  • Honest fit check — we say no if it is not a fit

30-minute call. No pitch deck.

AI Server Configurator: Validated BOM in 15 Min | Talkulate AI CPQ