AI Solutions
Outreach that sounds like a person wrote it.
Research, personalisation and follow-up automated — with sending discipline that protects your domain.
Sound familiar?
- “Your outreach is a mail-merge and the reply rate shows it.”
- “Researching each prospect properly takes fifteen minutes nobody has.”
- “Follow-ups stop after the first attempt, which is where most replies come from.”
Capabilities
What it does.
Prospect research
Company and role context gathered and summarised before the first message.
Real personalisation
Messages referencing something specific and true, not a merged first name.
Sequenced follow-up
Multi-step cadences that stop the moment someone replies.
Reply classification
Interested, not now, wrong person or unsubscribe — routed automatically.
Deliverability guardrails
Volume ramping, domain warm-up and spam-signal checks.
Attribution
Which sequence, which message and which segment produced pipeline.
How we deploy it
The path from pilot to production.
Most AI projects die between a good demo and a working deployment. This is the sequence that avoids that.
Define the segment narrowly
Broad lists produce broad messages and poor replies. Narrow beats volume.
Write the human version first
AI scales a good message; it cannot rescue a bad one.
Verify before sending
Personalisation is fact-checked against the source, because a confidently wrong detail is worse than none.
Ramp volume
Slow increases protect domain reputation. Blasting burns the domain permanently.
Measure replies, not opens
Open rates are unreliable now. Replies and meetings are the metric.
Data & privacy
Where your data goes, plainly.
This is the first thing enterprise procurement asks about AI, and most vendor pages avoid answering it.
- Prospect data handled under DPDP Act and, for EU contacts, GDPR legitimate interest.
- Unsubscribe honoured immediately and permanently across all sequences.
- No scraping of sources that prohibit it in their terms.
- Sender identity always accurate — no misrepresentation of who is writing.
What it costs to run
Research and drafting costs roughly ₹2–8 per prospect. The binding constraint is deliverability, not cost — which is why we ramp volume rather than maximise it.
Technology
What we build it with.
- Anthropic Claude
- OpenAI
- Apollo
- Instantly
- Python
- PostgreSQL
- Resend
We're not tied to a model vendor. Systems are built so a provider can be swapped as capability improves or prices move.
Industries
Where it applies.
Commercial email is permitted with accurate sender identity and a working unsubscribe. For EU recipients GDPR requires a legitimate interest basis and clear opt-out. We build both in — and we won't build something designed to evade filters.
They do if you prompt generically. We build from your best-performing human-written messages and ground personalisation in verified facts about the prospect. If the research is thin, the message says less rather than inventing more.
For a narrow, well-researched segment, 3–8% reply rates are achievable in B2B. Anyone quoting 20%+ is either describing a warm list or counting auto-replies.
Not if volume is ramped and the list is clean — which is exactly why we do both. Sending too much too fast from a cold domain causes damage that takes months to undo.
Start here
Tell us the process, not the technology.
The best AI projects start from an expensive manual task, not from a decision to use AI. Describe the task and we'll tell you honestly whether this is the right tool.