NEWHow a B2B SaaS went from 4 to 131 AI answers citing it
4.9130+ clients across the globe

Booked meetings from research. Not spray and pray.

Every prospect is researched, every first line is written from a real, sourced fact, and interested replies get a booking link at once. Meetings land on your calendar with the context attached. Objections go to a person.

  • 5.1% positive reply rate, email and LinkedIn
  • 20-30 qualified meetings per month, per seat
  • Led by Prasad Iyer
Outbound · yourbrand.comResearch-led
AMAlex MorganHead of Operations · Northwind FreightQueued
SRSam RiveraCOO · Brightline ClinicsQueued
JPJo ParkFounder · Cedar & CoQueued

Research · every fact has a source

Hiring three dispatch rolesCareers page
Opened a second depot this yearPress page
Posted about carrier delaysLinkedIn

First line · written from the facts above

Yes, it is a spreadsheet. Open to a call this week.

This week

Mon
TueBooked
Wed
Thu
Fri

Illustration · prospects and facts are made up, no meeting is promised

Brands we grow, from Mumbai to Dubai to Atlanta to Sydney

Why outbound stalls

The SDR maths is brutal. The pipeline follows the mood.

A rep spends most of the week researching and copy-pasting, and the pipeline still depends on how the week went. A founder doing their own outbound is worse.

  1. 01

    Research eats the week

    The time that should go on conversations goes on tabs, spreadsheets and a first line that took ten minutes to write.

  2. 02

    Shallow personalisation is obvious

    A merged first name signals automation instantly. Personalisation that is worth sending needs something specific and current behind it.

  3. 03

    Volume without targeting burns the domain

    Spraying a broad list wrecks deliverability and the brand together. A burnt sending domain cannot be recovered quickly.

What we do

Five stages. A human on the hard parts.

Discovery, enrichment, sequencing, reply handling and booking, wired end to end. Speed is automated where it helps. Judgement stays with a person.

Prospect discovery

Start from closed-won, not a wish list

The ideal-customer profile is built from accounts that actually bought and stayed. We then find more of them using firmographic filters, hiring signals and tech-stack detection.

  • A profile drawn from your real customers
  • Signals worth acting on: hiring, funding, stack changes
  • Domain authentication, warmup and limits set up first
Target list · built from closed-wonDiscovery
Northwind FreightFits your closed-won profileHiringNew site
Brightline ClinicsFits, timing signal is weakerFunding
Cedar & CoOutside the profile, skippedSkip

Illustration · companies and signals are placeholders

Enrichment

A real reason to reach out, for every lead

Each lead gets a verified email, LinkedIn activity, recent funding and a specific reason to write. The system runs over 2,800 prospects a month through enrichment and scoring.

You get

  • Verified emails
  • A sourced, current fact behind each first line
  • Leads without a real reason are not contacted

Sequencing and replies

Written like a person, handled fast

Multi-touch sequences run across email and LinkedIn, spaced to read as human. Replies are classified: clear interest gets a booking link immediately, and objections route to a person.

  • Email and LinkedIn in one sequence
  • Interested replies answered while they are warm
  • Objections and anything ambiguous go to a human
Replies · classified on arrivalA person takes objections

“Yes, send me a time.”

Reading the reply
…

“We already use someone for this.”

Reading the reply
…

“Out of office until the 12th.”

Reading the reply
…

Illustration · example replies

Booking and iteration

Meetings with context, then tuning

A meeting lands on the calendar with the enrichment, the sequence history and the reply attached. Angles tire and deliverability drifts, so sequences are revised against what produces replies.

You get

  • Prospect context attached to every meeting
  • Deliverability monitored continuously
  • Reporting on enriched, replied and booked per seat

Want to know who is worth a first line?

Two minutes of questions, then pick a time · 30 minutes with a founder · You keep the plan either way

How it runs

First meetings in weeks five to eight. Steady state by month three.

  1. 1

    Weeks 1–2

    Profile, signals, infrastructure

    Domain warmup starts now, because it cannot be rushed later.

  2. 2

    Weeks 3–5

    Build and test narrow

    The motion is tested on one segment. Volume stays deliberately low while deliverability establishes.

  3. 3

    Weeks 5–8

    First meetings

    Early replies test targeting as much as copy, and both get corrected here.

  4. 4

    Months 2–3

    Steady state

    Roughly 2,800 prospects enriched a month and 20-30 qualified meetings per seat.

  5. 5

    Ongoing

    Iterate

    Angles tire and deliverability drifts, so an outbound system left alone declines rather than plateaus.

Proof · Running for TechDevs and 3 client sales teams

20-30 qualified meetings booked a month, per seat.

The system finds ideal prospects, enriches each one with a reason to reach out, runs the sequence, handles the replies and books the meeting. Your numbers will move with deal size, market and how tight the target profile is.

Read the case study
prospects enriched and scored per month
2800+
positive reply rate across email and LinkedIn
5.1%
qualified meetings booked per month, per seat
20-30

Fit

Built for some teams. Not for every team.

A strong fit if

  • You sell B2B, have a defined ideal customer, and a deal size that justifies a booked meeting.
  • A founder is doing outbound between everything else, which is the least sustainable version.
  • You have a repeatable pitch that works across a recognisable segment.
  • You can take the extra meetings and follow them up properly.

Probably not a fit if

  • You sell low-ticket products where a booked meeting costs more than the deal is worth.
  • You want volume without targeting. A broad list burns the domain and the brand.
  • You have no capacity to take the meetings. Booked calls nobody attends hurt your reputation.
  • Cold outreach is legally restricted or counterproductive in your market, or you will not let a human handle objections.

Client love

Clients on a team that owns the outcome.

4.9Average client rating

If you are looking for a dedicated team that understands real growth, work with TechDevs.

AshtonOperations & Digital Growth · Xhale City · 70+ locations

“A colleague recommended Prithvi for our landing page design, and it was the best decision we made. Within a month, we saw a 40% increase in conversions.”

Sujal MehtaLocal Guide · Google review

“I’ve worked with Prithvi and his team at Tech Devs multiple times, and every single experience has been exceptional… once it starts showing results, the visibility and impact are incredible.”

Samelip ShahLocal Guide · Google review

“One of the most helpful guys I’ve met when it comes to seo. They’re well equipped, and have proven strategies for fintech.”

Siddharth ThakkarGoogle review

“Got my website done from tech devs. They were swift and finished it before time. Very humble courteous team with great knowledge for problem solving.”

Manoj BodhwaniGoogle review

“Love the energy and honest recommendations. Also the work got completed on time. Thank you thank you thank you!!!!”

Rima RohraGoogle review

“Great SEO services! Highly Recommend!!”

Devika MandyaniGoogle review

FAQ

Questions buyers ask us first.

What is an AI appointment setter?

An AI appointment setter is a system that runs B2B outbound end to end and books qualified meetings on your calendar. Ours discovers ideal prospects from firmographic and intent signals, enriches every lead with verified email and a reason to reach out, writes personalized email and LinkedIn sequences, classifies the replies, and books interested prospects with full context attached. It replaces the research-and-copy-paste work that eats most of an SDR’s week.

How many meetings can it book?

The system enriches and scores over 2,800 prospects per month and runs at a 5.1% positive reply rate across email and LinkedIn, which lands 20 to 30 qualified meetings per month per seat. It is currently running for TechDevs and three client sales teams.

Is the outreach still personalized, or is it spam?

Every message is personalized from real signals: LinkedIn activity, recent funding, tech stack, and a specific reason to reach out pulled during enrichment. Sequences are spaced to feel human, and interested replies are handed a booking link while objections route to a person. It is the opposite of blast-and-pray cold email.

Does a human handle the actual conversations?

The agent handles discovery, sequencing, and reply classification. When a prospect raises an objection or asks something nuanced, the thread routes to a human. Booked meetings arrive with the full prospect context so your rep walks in prepared. For a broader look at how we build demand, see our lead generation service.

How much does an AI appointment setter cost?

It is priced as a build plus a running fee: a one-time cost to design and ship the system, then a smaller ongoing fee to operate it. The build cost depends on how many tools it connects and the volume it processes, and data enrichment carries its own per-lead cost. We scope it on a first call and give you a real range.

Is AI-run cold outreach legal?

B2B outreach is permitted in many jurisdictions and restricted in others, and the rules differ substantially between regions — GDPR, CAN-SPAM and local variants all treat it differently. We set up authentication, honour opt-outs automatically, and will tell you plainly if your target market makes the approach a bad idea. This is not legal advice, and for regulated markets you should take your own.

Will prospects be able to tell it is automated?

They will if the personalisation is shallow, which is why every lead is enriched with something specific and current — recent funding, a relevant hire, a stack change — rather than a merged first name. Sequences are spaced to read as human, and anything ambiguous in a reply routes to a person rather than being answered by a model.

How many meetings can I actually expect?

The system runs at roughly 20 to 30 qualified meetings per month per seat, from about 2,800 prospects enriched and scored monthly at a 5.1% positive reply rate. Those figures come from running it for our own team and three client sales teams. Your numbers will move with deal size, market and how tight the ideal-customer profile is.

What happens when someone replies with an objection?

It routes to a human. Clear interest gets a booking link immediately, because speed matters enormously on a positive reply, but objections and anything ambiguous go to a person. Automated argument with a real prospect is where outbound systems damage a brand rather than build pipeline.

Will this burn my sending domain?

Not if the infrastructure is set up properly first, which is why authentication, warmup and sending limits happen before any campaign starts and volume stays deliberately low for the first weeks. Deliverability is then monitored continuously, because a burnt domain ends the programme regardless of how good the copy is and cannot be recovered quickly.

Who leads this

Run by the engineer, not handed to a junior.

Prasad Iyer, Co-founder · CTO, AI & operations

Co-founder · CTO, AI & operations

Prasad Iyer

Runs engineering and the AI division. Builds the systems the marketing runs on: multi-agent content pipelines, outbound booking agents and operations dashboards.

What happens next

  1. Answer a few quick questions about your business. About two minutes.
  2. Pick a time that suits you for a free 30-minute call with a founder.
  3. We study your site before the call, so you leave with a plan, not a pitch.

Free, no obligation. Your answers save as you go, so you can stop and pick up where you left off.