03GTM engineering
From public signals to sales-ready outreach.Human-approved.
We don't just find accounts and contacts. We find what changed, prove it, and map it to what you sell.
Every account, every time
- 01Named account
- 02Signal detection
- 03Evidence
- 04Signal strength
- 05Business context
- 06Use case
- 07Solution mapping
- 08Search confidence
- 09Decision maker
- 10Outreach
01Built and run
Built for a global semiconductor company's India enterprise team.
Every account on the target list moves from raw public signal to a qualified, contactable opportunity. Unattended, with a human approving every send.
4
AI agents, running end to end
2
ICP categories
7
signal categories, each on its own re-check cadence
100
point intent score per account
02Who it targets
Two ICPs. Written down, not assumed.
The agents only chase accounts that match the profile, dimension by dimension.
| Dimension | Target criteria |
|---|---|
| Company size | 500 to 2,000 employees |
| Priority industries | BFSI/NBFC, manufacturing, pharma, healthcare, retail, logistics, IT/ITES, SaaS and digital-native businesses |
| Growth indicators | 15%+ revenue or workforce growth; new offices/plants; geographic expansion; acquisitions; funding or IPO preparation |
| Technology environment | 100+ commercial PCs; 15+ servers or growing cloud/on-premises infrastructure |
| Investment triggers | PC refresh cycle, Windows migration, data-centre expansion, virtualisation, private cloud, AI adoption, cybersecurity modernisation |
| Primary markets | Bengaluru, Mumbai, Delhi NCR, Hyderabad, Chennai, Pune, Ahmedabad and emerging industrial clusters |
| Buying timeline | Infrastructure investment expected within 6 to 18 months |
03How it works
Four agents, one evidence bar.
Every signal traces to a public, dated, named source. No assumptions, no fabricated evidence.
Prospecting Agent
Finds the accounts and the signals that say something changed.
Mapping Agent
Maps each signal to a use case and to what you sell.
Reasoning Agent
Grades the evidence and scores intent out of 100.
Outreach Agent
Writes the first touch from the account's own signals.
Where the evidence comes from
- Earnings and board disclosures
- Industry and trade press
- Hiring signals (job boards, LinkedIn Jobs)
- Your case studies and newsroom
- Government and institutional press
- Company websites and org charts
Graded Strong, Medium or Weak. Re-checked on its own clock.
| Signal category | Re-check cadence | Decay window |
|---|---|---|
| Hiring | Daily crawl of careers pages and LinkedIn Jobs | Drops out of scoring 45 days after the posting closes |
| Search confidence | Weekly re-read of Trends, News and site changes | Steps down one level after 21 days with no new mention |
| Growth | Weekly Crunchbase / Tracxn sync | Active for 2 quarters after a funding or expansion event |
| Change | Real-time Sales Navigator and job-change alerts | Full weight for 90 days after a new leadership hire |
| Sector / compliance | Weekly regulatory-filing sweep | Tied to the filing's own compliance deadline |
| News & PR | Daily Google Alerts and newsroom feed check | Corroborating weight only, decays after 30 days |
| Financial | Per filing cycle (quarterly, or per grant sanction) | Held until the next filing or sanction supersedes it |
04Worked example
A mid-market auto-components manufacturer.
Five dated signals, each with a named source.
Growth
StrongBoard-approved ₹250 crore third plant in Krishnagiri district, commissioning in 6 to 8 months.
Financial
Strong₹2,000 crore raised via QIP, strengthening the balance sheet for capex.
Change
MediumNew Senior VP Operations hired to run the expanded manufacturing footprint.
Sector
MediumAluminium products division running near 85% utilisation, capacity crunch driving the new plant.
Financial
Strong₹1,500 crore FY27 capex plan disclosed on the Q1 FY27 earnings call; net profit more than doubled year on year.
Read the way a rep would
Source → evidence → business context → implication
- Implication
- New-plant IT and data-centre capacity needed on a 6 to 8-month timeline, plus a growing ops team to standardise on devices.
- Use case
- Growth-stage capacity expansion, servers plus device refresh.
- Solution mapping
- Server CPUs and commercial PC processors.
- Capacity expansion
- New plant
- Increased infrastructure requirement
- PCs and servers
05Intent score
100 points. Hot is 85 and up.
Hot is 85 to 100; High is 70 to 84.
- Signal strength
- up to 40
- Timing and urgency
- up to 25
- Relevance
- up to 20
- Buying-stage signal
- up to 15
Applied across all nine accounts
- 90Auto-components manufacturer · 3 independent dated sources
- 90Central IIT, Gujarat · 2 sources
- 84Solar manufacturer · Net-new
- 80Housing-finance NBFC
- 76Central IIT, Tamil Nadu
- 75Independent software testing firm
- 66Central NIT, Kerala
- 65Private deemed university, Uttarakhand
- 62API platform SaaS · Hiring signals only
06Net-new discovery
It found an account that was not on the list.
Same agents, same evidence bar, run beyond the client's known accounts.
₹6,200 cr
integrated solar ingot and wafer complex (10 GW)
8,000+
direct and indirect jobs projected
~22.3 GW
module capacity already operating, plus 5.4 GW cell
Bhoomipujan performed by the Maharashtra CM (15 March 2026), a Group CIO in seat since February 2024. Capital-intensive, funded build, in-seat IT decision maker: the same profile as the client's existing mid-market accounts.
07Search confidence
What each account is likely researching.
Three layers: use-case identification, search confidence and search intent (premium, optional).
Sources read: Google Trends, Google News, company or institute websites, technology stack, industry trends, public hiring signals and AI semantic analysis.
Auto-components manufacturer
- Confidence High
- 3 public sources
- Active Evaluation
- Trend increasing
Non-branded themes
- New plant data-centre build-out
- Manufacturing ERP capacity
- Plant commissioning IT rollout
- Commercial laptop refresh (90 to 140/month)
- Operations team device standardisation
- Factory-floor compute
Competitive terms
Server TCO comparisons against the incumbent x86 vendor and price-per-core benchmarking: an active vendor shortlist for the new plant.
Central IIT, Gujarat
- Confidence High
- 2 public sources
- Active Evaluation
Non-branded themes
- AI lab GPU cluster (20 to 30/month)
- Campus AI curriculum
- Centre of Excellence (1.6K+/month)
- MoU-funded infrastructure
- Student workstation refresh
Competitive terms
Comparisons against the incumbent GPU brand and an open software stack: an open, vendor-neutral stack is a stated concern, not just price.
Keyword volumes are India, AI-directional estimates, not Keyword Planner verified.
08From account to conversation
Who to contact, what to send, how to say it.
- 01
Contact identification
Decision makers are title-matched from each account's public leadership page and name-confirmed via enrichment. Buying-committee members are tagged P1 or P2.
- Email: primary channel
- LinkedIn: where a public profile matches
Unverified cells say "Not publicly verified", never a guess
- 02
Content library, matched by stage
Early Research accounts get eBooks. Active Evaluation accounts get case studies. Real assets, matched once.
- eBooks for Early Research
- Case studies for Active Evaluation
Check the stage, match the solution, attach once
- 03
Outreach: personalised, not generated
Each first-touch email is written from the account's own capex and hiring signals, not a merge-tagged template. The named signal, how we help, one clear ask, a named sender, one matched asset.
- Awareness
- Consideration + asset
- Decision: a 20-minute ask
- LinkedIn note day 1, follow-up day 3 to 4
LinkedIn runs as a parallel touch, not a fallback
09Sales alert and handover
Nothing sends until your team clicks Approve.
Every hot account triggers an alert: signal detected, recommended contact, outreach window, expected outcome and approval status.
90/100
Outreach window: within 24 hours
76 to 84
Outreach window: within 48 hours
62 to 66
Outreach window: within 5 business days
When a prospect replies, the data is compiled and shared with you, and qualified replies are forwarded.
Running continuously in the cloud
- Data and signals
- Four AI agents
- Enrichment
- Contact verification
- Outreach
- CRM and sales handover
- Signal detection and re-checks
- Evidence grading and intent scoring
- Contact enrichment
- First-touch drafts and sequencing
- Approving every send
- The ICP and the target list
- The reply and the meeting
- The close
Get started
See what the same four agents surface for your target list.
Bring us your ICP and your named accounts. We will show you the signals, the scores and who to talk to first.
Every send human-approved.
Prashant Jain, FounderYour first call is with the founder.