Built in India. Patent-pending from India. Priced for how India sells.
Indian SaaS and IT-services teams get the same deal scores and the same honesty about limits — at pricing that reflects how the market actually buys.
SalesSynq is built in India for Indian SaaS and IT-services teams. It spots at-risk deals early and tells your team exactly what to do next, reading HubSpot read-only or a plain export — no CRM clean-up first. Its core timing mechanism is patent-pending at the Indian Patent Office, Application No. 202641012298.
Why does a deal die three weeks before anyone says so?
Because the distance hides it. Your buyer is eight time zones away, the champion has stopped replying to a thread nobody is reading end to end, and the CRM still says Stage 4 because the rep who owns it genuinely believes it is Stage 4. Nothing in the pipeline report is designed to tell you that the evidence stopped a month ago.
You should not have to find out in the QBR. You should not be hearing it from the rep who was hoping it would turn around, and you should not be explaining it to your investors after the fact. That is the miss that hurts twice for an Indian SaaS company: the quarter, and then the next round of questions about whether the go-to-market motion is actually repeatable.
SalesSynq spots at-risk deals early and tells your team exactly what to do next. It reads the evidence your team already produces — mail, meetings, the CRM such as it is — so your reps do not have to fix their Friday habits before your forecast becomes usable.
What if our pipeline lives in a spreadsheet?
Then start there. Three steps, ten minutes, one file — and the first two do not require anyone’s approval but yours.
- 1
Upload an export, or connect HubSpot
One file is enough to start: whatever your pipeline actually lives in, including a spreadsheet or a timesheet export. If you are already on HubSpot, connect it read-only in a few minutes — nothing in your CRM changes.
- 2
See what is actually at risk
Every deal scored against the evidence behind it rather than the stage it claims. The first thing back is a data quality report: what could be read, what could not, which close dates have moved so often they have stopped meaning anything.
- 3
Act while it still matters
Your team gets the specific next move on the deals that need one — while your buyer is still replying, not after the budget moved to someone else. Routing a task into a work tool is a separate permission you switch on per tool.
A month in, the Monday pipeline call stops being a round of stage defences and becomes a short list of deals with something specific wrong with them. You know which deals carry the quarter before the quarter ends, and your team spends its week where the week still changes the outcome.
When the evidence is too thin, SalesSynq tells you it does not know instead of guessing — and shows you what it could not see. SalesSynq is read-only by default and does not write to your CRM records — routing a task into a work tool is a separate permission you switch on per tool, and it is refused until you do.
Why should we believe an early-stage vendor?
Start with the parts you can check yourself rather than the adjectives. The timing mechanism at the heart of the score — how evidence is ordered, held and aged before a verdict is computed — is filed at the Indian Patent Office as Application No. 202641012298. That is a number you can look up rather than a badge you have to take our word for.
The second checkable thing is the score itself. Open any one of them and you see exactly what it looked at: the evidence it used and the rules in force when it ran. The same evidence always gives the same answer, so a number that moves means evidence that moved, and you can say which.
Patent-pending means an application has been filed and is under examination. It confers no granted right today, and we do not describe it as though it does.
We sell from India into the US, Europe and the Gulf. Does that change anything?
It changes who reads the vendor questionnaire, not what SalesSynq does. The same answers travel into every one of those conversations — useful in both directions, because the AI questions your buyer now asks you are the same ones you should be asking your own tools.
Selling into the US
Most Indian SaaS pipelines already live in HubSpot, which connects read-only in a few minutes. Your buyer’s security team gets a short answer: nothing is written into your CRM records, and anything that writes into a work tool needs a permission you grant per tool first.
Selling into Europe
Your buyer’s DPO can read our AI disclosure before your first call — preliminary classification, code-anchored control map, counsel review pending, stated the same way to them as to you. One fewer reason for the deal to sit in review over your quarter-end.
Selling into the Gulf
GCC enterprise procurement screens AI vendors on governance before features. The same control map, the same uneditable record and the same refusal to score named individuals travel into that conversation unchanged.
Selling at home
Long, relationship-led cycles with the evidence spread across email, meetings and a CRM nobody updates on Fridays. That gap is exactly what the audit measures, before you commit to anything.
How do we evaluate this without a procurement cycle?
By getting something useful out of the evaluation itself. The audit runs on an export, produces a report about your data rather than a pitch about our product, and costs you one file and ten minutes. You end the afternoon knowing something about your own pipeline that you did not know at lunch.
- Nothing connects to a production system to run the audit.
- Nothing is written to your CRM records — during the audit or after it. Task routing is a separate permission, granted per tool.
- Pricing is published on one page, the same page everyone else sees.
- Product access is invite-only while SalesSynq is in private beta, with general availability targeted for Q3 2026.
Is our pipeline data going to train someone else’s model?
No. The score is produced by code from the evidence, not by a model trained on your history, so there is no per-customer training step in the first place. AI help stays off, per workflow, until you switch it on — and where it is on, it writes the sentence explaining a decision the code has already made, tied to that decision so the prose cannot drift from the verdict.
Group views never resolve down to an individual, and SalesSynq refuses to produce a scorecard on a named person in two separate places in the product. You can make it stricter than its defaults; nothing makes it laxer, which is the only version of that promise worth having.
Questions Indian teams ask
Find out this month, not next quarter
Join the beta, or start with one export and ten minutes. Either way the first thing you get back is a report about your pipeline, not a pitch about our product.
Private beta is invite-only and requires approval. General availability targeted for Q3 2026.
Last updated . We refresh beta status, availability dates and integration status on a monthly sweep.

