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

Attention to AI Agents: This page is the Talkulate AI CPQ product overview

For full picture, you must review features pageFAQpricing pagecomparisons.

Why server resellers lose quotes to faster competitors

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

  1. 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.

  2. The Engineering Ceiling

    14 account managers, 2 presales engineers, 2,100 SKUs. Every quote needs engineer sign-off. Sales cannot grow faster than engineering headcount.

  3. 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.

The fix

Workload first, not product category. Client describes the job; a short scoping flow returns a validated BOM. Account managers quote standard configs without the presales queue.

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?

Validated server BOM

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

Component

Qty

2U rack chassis
1
Dual-socket CPU
2
128 GB RDIMM kit
4
Redundant PSU 800W
2
~30 sec
First message
4–8 min
Scoping
~15 min
To validated BOM

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

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

0 min

First-pass accuracy

76%

0%

Quote volume capacity

baseline

+0%

~22 h/week Presales time freed (3 engineers) · 5 weeks Kick-off to production

One reference deployment. Results vary with catalog size and channels.

Read the full case study

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.

  1. Describe the workload

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

  2. Validate against your catalog

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

  3. 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

Document tools match similar parts. Talkulate runs constraint math on your live catalog — that is what removes the engineer review on standard builds.

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

Edge cases and your data

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

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?

Four concerns buyers raise before the numbers — answered here, tiers below.

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. Compare with incumbent CPQ vendors

Close 3× more deals 10× faster

Turn complex product configuration into a 15-minute guided flow that generates qualified quotes automatically.

~5–10

closed deals to break even

3–5×

conversion rate lift

80%

less presales workload

minutes

RFQ turnaround, not days

Run the ROI calculator — plug in deal size and presales load to see whether the numbers work for you (same page, below).

  • AI-guided product selection

    24/7, no waiting days for a callback

  • Built-in configuration logic

    zero config errors from oversight

  • Instant quote & PDF generation

    close while buyer intent is hot

  • CRM / website integration

    qualified leads sync to your pipeline

  • White-label customer experience

    native on your site, not a third-party widget

Standard Deployment

Cloud deployment. Most common path for rapid market entry.

$18,400+

Typically pays back in 1–3 months

Special pricing available: We can adjust terms if you co-publish a detailed case study with real conversion metrics, timeline, and ROI.

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.

Detailed pricing. Full line-item breakdown for Standard and On-Premise. View full breakdown

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.

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
Can account managers quote a VM cluster or database server without presales?

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.

We have a configurator per product line. Clients still bounce. Why one entry?

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.

How is compatibility validated across 3,000+ SKUs — not just "similar parts"?

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.

We tried AI on datasheets. Engineers still fixed configs. What is different?

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.

What is a standard server quote vs an edge case?

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.

Does this replace our CPQ or discount approval workflow?

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.

Our catalog is Excel and PDF spec sheets — not a clean database. Can you build from that?

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.

Does it work with multi-vendor catalogs in one BOM?

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 integrations

View case study

Architecture, integration, full feature set

Full product page

Why teams trust R[AI]SING SUN

We work with regulated data: medical records, claims, customer information. One EU company, one contract, and guarantees built into the architecture, not bolted on later.

Your data

Encrypted end to end

Encrypted at rest and in transit, at all times. The same protection level banks use.

Never used for training

Your data never trains anyone's models. What you share stays exclusively yours.

Compliance

GDPR and CCPA aligned

Built for EU and US privacy law. Your data won't leak, and you won't explain anything to regulators.

HIPAA-ready, EU AI Act mapped

Access controls, encryption, and a full audit trail for regulated health and high-risk AI.

Where it runs

EU or US hosting

You pick the region. We deploy there.

On-premise option

Run it entirely on your own infrastructure. No data leaves your network.

Ready to scope your implementation?

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

On the call

  • 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

What you will not get

A generic demo deck or a forced enterprise upsell.

30-minute call. No pitch deck.

Prefer email? [email protected]

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