Services
AI & Data Solutions
AI & ML Solutions
Custom machine learning models for real business use cases.
Chatbot Development
Conversational AI with context awareness and escalation.
Data Analytics
ETL pipelines, warehousing, and dashboards that give answers.
Business Intelligence
Self-service BI with custom dashboards.
Predictive Analytics
Forecasting for demand, churn, pricing, and inventory.
AI Integration
Adding AI capabilities to existing products.
AI Agent Development
Autonomous AI agents that use tools, take actions, and complete multi-step work.
Generative AI Development
Custom generative AI for text, image, code, and media — built into your product.
AI Consulting
Strategy, roadmap, and feasibility — find where AI actually pays off.
LLM Development
RAG, fine-tuning, and evals — large language models built for production.
AI Automation
AI-driven workflow automation that removes repetitive manual work.
Industries we serve
Healthcare
HIPAA-ready platforms, telehealth & patient systems
Fintech
Payments, wallets & secure banking apps
E-commerce
Storefronts, checkout & marketplace builds
Education
LMS, e-learning & student portals
Real Estate
Listings, CRM & PropTech solutions
Logistics
Fleet, tracking & supply-chain automation
Gaming
Game backends, multiplayer & iGaming
Entertainment
Streaming, media platforms & OTT apps
Custom quoting systems that carry a deal from first line item to signed acceptance — with the approval chain your business actually runs on, and a client portal that replaces the PDF-by-email ritual. No per-seat licence. You own it.
Quote drafted
Rep
Margin check
Auto
Manager sign-off
R. Mehta
Finance review
Finance
Sent to client
Portal
10 wks
Typical build to launch
100%
Quote lifecycle covered
125+
Countries in one deployment
4.8★
Average client rating
The System
It takes a quote from a structured builder, routes it through whatever internal sign-off your pricing demands, delivers it to the client somewhere they can act on it, and keeps a complete record of every version and decision along the way.
Most teams do not lose deals because their prices are wrong. They lose them because the quote took four days to leave the building. The generation step is easy — it is the approval chain and the client hand-off where time actually disappears.

01Build
Line items from live rate cards
02Approve
Routed by value, discount, tier
03Deliver
Branded portal, not a PDF
04Record
Every version kept and diffable
A rep rebuilds the same spreadsheet for the fifth time this week, chases a manager for a discount sign-off, then emails a PDF that immediately goes stale. The deal cools while the paperwork catches up.
Anything past standard pricing needs a sign-off, but the rule exists only in people’s heads. Some quotes get three approvals, some get none, and nobody can prove which is which six months later.
Discounting happens deal by deal with no ceiling. By quarter end the average margin has slipped several points and no single quote looks like the culprit, because none of them is.
Won and lost quotes sit in separate folders. Nobody can answer which lane, product, or rep actually converts, so pricing strategy stays a matter of opinion rather than evidence.
What We Build
Line items pulled from live rate cards, with quantity breaks, surcharges, taxes, and currency handled by the system rather than by whoever is fastest in a spreadsheet.
Routing driven by value, discount depth, client tier, or product mix. Parallel and sequential chains, delegation when someone is away, and full escalation rules.
Clients open a branded quote in the browser instead of a PDF attachment. They accept, request changes, or reject in place — and you see the moment they open it.
Every revision is preserved and diffable. What was sent, who changed what, what the client actually signed — all recoverable, which matters when a dispute lands.
Reminders on unopened quotes, nudges before expiry, and internal alerts when an approval has been sitting too long. The chasing happens without anyone remembering to chase.
Win rate by client, product, region, and rep. Average discount by segment. Time-to-acceptance trends. The numbers that turn pricing from instinct into policy.
Approval Engine
A worked example. Your tiers, thresholds, and approvers will differ — the point is that they get encoded once, then applied identically to every quote.
Every transition is timestamped and attributed. When a client disputes a price nine months later, the record of who approved what is a query, not an archaeology project.
Client Side
A PDF is a dead end. The client cannot act on it, you cannot tell whether they read it, and the version they forward internally is the one you can no longer change.
Integrations
Push accepted quotes straight into the opportunity record — Salesforce, HubSpot, Zoho, or a custom CRM.
Validate availability and cost at quote time so you never price something you cannot deliver.
Accepted quote becomes a draft invoice in Xero, QuickBooks, or your finance system without re-keying.
SSO through Google Workspace, Microsoft Entra, or Okta, with role-based permissions mapped to your org chart.
Off-the-Shelf vs Custom
How We Work
We sit with your reps and approvers and document how quoting actually happens — including the shortcuts. That map, not an idealised version, becomes the spec.
Rate cards, discount tiers, margin floors, and the approval matrix get modelled and validated against historical quotes before any interface work starts.
Quote builder, approval engine, and client portal ship in parallel. Your team is quoting in a staging environment from around week five.
Historical quotes imported, integrations connected, users trained. We run alongside your old process until the numbers reconcile, then switch over.
Why Ethersofts
Most quote tools treat sign-off as a checkbox. We model it as a workflow engine, because that is what it is.
Floors, warnings, and escalation triggers live in the pricing model rather than in a policy document nobody reads.
A quote your customer can act on in the browser converts faster than one they have to download, sign, scan, and email back.
We build against the CRM and ERP you already run, rather than asking you to migrate to suit the software.
Every version, approval, and client action is timestamped and preserved — which is what saves you in a contested deal.
Full source, documentation, and a hand-over session. No per-seat licence, no vendor dependency.
“Real-time fleet tracking, route optimization, and a driver app — all integrated with our ERP. On-time deliveries jumped and we cut fuel and idle costs within the first quarter.”
Imran Sheikh
Director of Operations · TransCargo Logistics · Dubai, UAE
If your question isn't here, ask it. You'll get a real answer from an engineer within 24 hours — not a sales pitch.

Quote management software handles the full lifecycle of a sales quote: building it from structured pricing, routing it for internal approval, delivering it to the client, capturing their acceptance, and reporting on what converted. It replaces the usual mix of spreadsheets, email threads, and PDF attachments with one system that keeps a complete record.
CRM quoting modules generate documents well but model approvals poorly. They typically support a single approver and flat catalogue pricing. If your sign-off depends on discount depth, margin floor, client tier, or product mix — or needs two people in parallel — you will hit the ceiling quickly. We build the approval engine your process actually requires and sync the outcome back to your CRM.
Ten to fourteen weeks for a full system: quote builder, approval engine, client portal, analytics, and one or two integrations. Complex pricing models with many rate cards and currencies sit at the upper end. You get a working staging environment from around week five, so feedback starts long before launch.
Yes. Rules can trigger on quote value, discount percentage, margin after discount, client tier, product category, contract length, or any combination. Chains run sequentially or in parallel, support delegation when an approver is away, and escalate automatically when someone sits on a request too long.
We migrate them. Historical quotes are imported with their status and value so your conversion analytics have history from day one rather than starting empty. Where data is in spreadsheets we write a one-off import that maps your columns and flags anything ambiguous for review.
Yes. Each quote gets a branded page on your domain where the client can accept, reject, or request changes, with e-signature capture where you need it. You see when it was opened and how long they spent on it, which is often the most useful signal your sales team gets all week.
That is usually the highest-value part of the build. Typical integrations validate cost and availability from the ERP at quote time, then push an accepted quote into accounting as a draft invoice. We build against your specific systems rather than offering a fixed connector list.
No. This is a fixed-cost build and you own the result, so internal seats cost nothing to add. That difference compounds — teams that outgrow per-seat quoting tools are the most common reason operators come to us in the first place.
Tell us how your quotes get approved today. You'll get a written scope and a fixed quote within two working days.
