Sales prospect discovery and outreach coordination portal

For

Sales teams and founders running outbound prospecting in small and mid-sized B2B companies

Solves

Prospect data, intent signals, outreach messages and follow-ups live in separate rented tools, so teams lose context and send generic messages.

Delivers

Reviewed prospect lists and personalized outreach sequences

Built in

about 5 weeks of creation time, MVP in 6 days

Investment

$14,500 for the MVP, $49,500 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce tool sprawl and manual handoffs while keeping outreach personal.

1. Find potential prospects matching stated criteria.
2. Track recent prospect actions and events for buying intent.
3. Add contact details and relevant information to leads.
4. Rank leads by likelihood to engage.
5. Accept plain-language ideal-customer descriptions to generate lead lists.
6. Generate tailored messages and sequences per prospect.
7. Send follow-up messages on a set schedule.
8. Sync data and workflows with the buyer's CRM.
9. Show campaign performance and response metrics.
10. Organize and segment prospect lists.
11. Filter prospects by industry, company size, role and other criteria.
12. Keep lead information current and actionable.
13. Verify contact accuracy in real time.
14. Send outreach directly from the platform.
15. Consolidate conversations in one inbox.
16. Suggest campaign fine-tuning.
17. Test different ideal customer profiles at scale.
18. Export lead data for sales teams or partners.
19. Generate marketing materials and social posts.
20. Track launch progress and deadlines.
21. Provide templates and guides for campaigns.
22. Let team members coordinate tasks in real time.

Everything these tools do, in one app

• Lead identification Finds potential prospects that match your criteria.Found in GojiberryAI, Intently, Gro and 2 more
• Real-time intent signals Tracks recent prospect actions and events to surface buying intent.Found in GojiberryAI, Intently, Gro
• Data enrichment Adds contact details and other relevant information to leads.Found in GojiberryAI, Gro, Persana AI for Prospecting
• Lead scoring Ranks leads by likelihood to engage so you can prioritize outreach.Found in GojiberryAI, Gro
• Natural language search Lets you describe your ideal customer in plain words to generate lead lists.Found in GojiberryAI, Intently
• Personalized outreach generation Creates tailored messages and sequences for each prospect.Found in GojiberryAI, Coldreach (YC W23), Gro
• Automated follow-up sequences Sends follow-up messages on a schedule you set.Found in Coldreach (YC W23), Gro
• CRM integration Connects with your CRM to sync data and workflows.Found in Coldreach (YC W23), Persana AI for Prospecting, LinkedLeads
• Analytics dashboard Shows campaign performance and response metrics.Found in Coldreach (YC W23), 10xlaunch
• List management Organizes and segments prospect lists.Found in Coldreach (YC W23)
• Advanced filtering Segments prospects by industry, company size, role, and other criteria.Found in Persana AI for Prospecting, LinkedLeads
• Real-time data updates Keeps lead information current and actionable.Found in Persana AI for Prospecting
• Lead validation Verifies contact accuracy in real time.Found in LinkedLeads
• Built-in outreach tools Streamlines communication with prospects directly from the platform.Found in LinkedLeads
• Centralized inbox Consolidates conversations in one place.Found in GojiberryAI
• AI co-pilot Offers suggestions for campaign fine-tuning.Found in GojiberryAI
• ICP testing Tests different ideal customer profiles at scale.Found in Intently
• Export options Exports lead data to share with sales teams or partners.Found in Intently
• Content generation Automatically creates marketing materials and social media posts.Found in 10xlaunch
• Project management Tracks launch progress and deadlines.Found in 10xlaunch
• Templates and guides Provides templates and guides for creating launch strategies and campaigns.Found in 10xlaunch
• Collaboration features Allows team members to coordinate tasks in real time.Found in 10xlaunch

What goes in, what comes out

The workflow

1. In
   Start with

   Permitted prospect data, intent signals, CRM records and outreach history

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect permitted prospect data

4. 3

   Intent signals

5. 4

   CRM records and outreach history

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewed prospect lists and personalized outreach sequences

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed outreach channel and permitted data source; final message approval and sending remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Prospect search and list builder, Outreach sequence editor, Centralized inbox and analytics. Use a table view for prospect lists, a large central editor for message sequences, and a right-hand panel for intent signals, enrichment details and CRM sync status. Let users compare sequence variants side by side. Display draft, approved and sent states. Provide a shared team view with comments anchored to the relevant prospect or message. Make the task-specific outcome reviewed prospect lists and personalized outreach sequences visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, prospect list versions, team comments, approval states, sending allowances, message limits, export history and a rights record for supplied data. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Buyer-owned CRM, permitted prospect data sources and authorized outreach channels. Cloud data storage, CRM import/export and email or messaging destinations. Start with file exchange and validate destination specifications before promising direct sending. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   6 days

   One buyer segment, one recurring use case; first modules: find potential prospects matching stated criteria; track recent prospect actions and events for buying intent. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   7 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   3 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will sales teams and founders running outbound prospecting in small and mid-sized B2B companies use it to solve "prospect data, intent signals, outreach messages and follow-ups live in separate rented tools, so teams lose context and send generic messages"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Qualified conversations per outreach hour and reply-to-meeting rate.
4. Measure, then decide. Track qualified conversations per outreach hour and reply-to-meeting rate; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One fixed outreach channel and permitted data source; final message approval and sending remain human. Implement one approved input format, a bounded representative case set and the first two task modules: find potential prospects matching stated criteria; track recent prospect actions and events for buying intent. Support the third module with operator review: add contact details and relevant information to leads. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed prospect lists and personalized outreach sequences. Retain the explicit scope boundary: One fixed outreach channel and permitted data source; final message approval and sending remain human.

What the build depends on. Prospect data upload and preview, asynchronous enrichment jobs, editable version history, reviewer access and tested export formats. High-fidelity outreach requires specialist sales QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed outreach channel and permitted data source; final message approval and sending remain human.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined prospect package. Offer a monthly outreach allowance after repeat demand. Quote complex multi-channel or CRM migration separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed prospect lists and personalized outreach sequences. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce tool sprawl and manual handoffs while keeping outreach personal. Demonstrate a concrete reviewed prospect lists and personalized outreach sequences using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Sales teams and founders running outbound prospecting in small and mid-sized B2B companies professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed prospect lists and personalized outreach sequences from a small authorized input set, with a transparent calculation of qualified conversations per outreach hour and reply-to-meeting rate and no promised savings.

The first 30 days

1. Week 1: interview five sales teams and founders running outbound prospecting in small and mid-sized B2B companies and inspect a recent example of prospect data, intent signals, outreach messages and follow-ups living in separate rented tools.
2. Week 2: prepare a consented or synthetic demonstration of the stated task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure qualified conversations per outreach hour and reply-to-meeting rate, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Qualified conversations per outreach hour and reply-to-meeting rate. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Qualified conversations per outreach hour and reply-to-meeting rate; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed prospect lists and personalized outreach sequences. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved message styles, prospect criteria and review examples, together with reliable delivery for a narrow sales niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for sales teams and founders running outbound prospecting in small and mid-sized B2B companies. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

GojiberryAI, Intently, Coldreach (YC W23), Gro, Persana AI for Prospecting, LinkedLeads and 10xlaunch, plus manual research and spreadsheets. Compare this product with the buyer's present method on qualified conversations per outreach hour and reply-to-meeting rate. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Data enrichment calls, message generation attempts, storage, reviewer hours, client revision rounds and licensed data sources. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed prospect lists and personalized outreach sequences. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve prospect consent, source attribution, message accuracy and usage permissions. Buyers approve substantive messages and sending scope. One fixed outreach channel and permitted data source; final message approval and sending remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.