Browse the marketplace.

Runs all signal scanners and distills the top 5-10 actionable leads for the day.

MEDDPICC-based scoring of ICP fit, red flags, tech fit, readiness, and portfolio alignment. Run after Research Company.

Lightweight qualify tier: research a freshly discovered company, then score ICP/risk/readiness and promote or drop it. Cheap pass to run before the deep-dive playbooks.

Everything a new workspace needs to start outbound: daily market scanning, company research and qualification, and a deeper qualification pass.

Deep-dive dossier on one target account across org, culture, financials, tech, and signals.

Run live deals end to end: multithread the account, out-position competitors, drive the close, and review the pipeline weekly.

Given a seed company already in the CRM, enumerates the look-alike universe in that vertical (industry associations, government program awardees, accelerator cohorts, conference exhibitors, sector VC portfolios) and creates 30-80 companies tagged `vertical:<slug>` for…

Finds the people at a target company who could plausibly buy what we sell, creates the ones the CRM is missing, and leaves one research note on who to approach first and which seats are still empty.

Finds companies visibly evaluating something in your category (comparing named options in public, asking peers which to pick, publishing a requirement) and hands the rep the words they used, before a form is ever filled in.

Researches one contact in depth: career trajectory, public writing and speaking, and communication style, then leaves the icebreakers, talking points and timing signals in a research note and in the lead_footprint memory the sequence writer reads.

Research a single contact and draft a tailored multi-touch sequence.

Map the buying committee, research each stakeholder, and draft a sequence per contact.

Full outreach motion in one session: maps the buying committee, scores every contact, deep-researches the top stakeholders, plans staggered threads, enrolls each qualified contact in a personalized sequence, then assigns the enrolled contacts to the open opportunity for that…

Searches X/Twitter for buying signals and turns them into CRM records: creates companies, opportunities, and research notes from social signals.

Keep the CRM trustworthy: a weekly cleanup pass, revival of stale leads, and fresh research on the companies that matter.

Reads every closed deal and writes a win/loss note: what the won ones had in common, where the lost ones died, and what to change in scoring, qualification and outreach.

Watches accounts we have already delivered for and, when a launch, a hiring surge, new funding or a new market shows up, opens the expansion opportunity with the brief behind it.

Writes a one-page pre-call note on the company record: the history, the people in the room, the open deal, the trigger events, and the talking points for the call.

Drafts the answers to a security questionnaire from what the workspace already knows, flags every one that needs verifying, and leaves them in one note the security team reviews instead of writing from scratch.

Compiles the deal history, the promises made and the buyer personalities into one handoff note the customer success team can onboard from without making the client repeat a thing.

Compile the CS handoff package and surface expansion signals on the closed account.

Health check on deal progression, forecast, SLAs, and win/loss patterns.

Battle card, negotiation plan, and tailored proposal for contested deals.

Weekly sweep of dormant opps and closed-lost deals, requalifying viable candidates via ICP.

Proposal, business case, mutual action plan, approval gate, then contract and security review.

Audits the CRM and repairs what it safely can: duplicates merged, orphaned contacts linked, tags standardised, bloated notes compacted, and a hygiene note listing what still needs a human.

Merge duplicates, compact notes, clean orphans, and fix inconsistent fields.

Synthesizes timing signals: budget cycle alignment, contract expiration proximity, trigger event recency, and urgency indicators. Answers: "A company can score 95 on ICP, but are they buying today or in 18 months?"

Evaluates internal reality: current team capacity, skill overlap, portfolio concentration risk, and strategic alignment. Prevents overcommitting to work you can't deliver or projects that don't fit the long-term roadmap.

Answers one objection a prospect actually raised: reads the person, their company and the deal context, then writes two or three tailored Challenger reframes, each with its insight and its follow-up question, into a single research note.

Researches competitors of a company to understand market positioning and identify opportunities.

Aggregates signals from all daily scanners, ranks them by recency, relevance, and urgency, then creates Opportunity records for only the top 5-10 actionable leads.

Acts as the master analyst: aggregates all discovery micro-signals (funding, new CTO, tech migration, etc.) into a single prioritized brief with a recommended angle of approach for outreach.

Cross-references a target company against your database of past clients and won deals. Finds the most relevant case study match based on industry, size, tech stack, and use case, providing powerful social proof for outreach.

Finds every warm path into a target account before anyone sends a cold message: scans CRM history, shared investors, alumni overlap and mutual customers, grades each path, drafts the introduction request, and writes the analysis into one research note.

Builds the financial justification an economic buyer needs, cost of doing nothing, payback period and return, and leaves it in one business case note the champion can forward without editing.

Works backwards from the target go-live date to a dated, owned step list for both sides, and writes it as one mutual action plan note that surfaces hidden procurement steps early.

Reads the leverage on both sides and writes one negotiation note holding the anchor, the walk-away, the order concessions are traded in and the answer to each objection the record says is coming.

Maps the alternative in this deal against the buyer's own priorities and writes one battle card note: where we win, where we do not, the questions that surface the difference and the answers to the comparisons they will make.

Watches every member of the buying committee for engagement drift, scores the deal on stakeholder health and writes one alignment note naming who has gone quiet, who is blocking and what to do about each.

Reads the deal, the research and the engagement history and drafts the proposal document into a note for human review, with every section grounded in something the buyer actually said.

Predicts which contract clauses this buyer will redline, prepares the response to each and flags the risky ones, in one legal preparation note the rep takes into the review.

Monitors configured funding data sources for recent investment rounds and creates opportunities for newly funded companies.

Reads configured news sources and RSS feeds for public commitments a company has just made: market entries, go-to-market plans and revenue-leader changes.

Monitors configured growth data sources to find rapidly scaling companies that may need services and support.

Reads job requisitions across the configured boards. A posting is dated, budgeted work a company has decided it cannot do with the team it has.

Scores how well a company fits the ideal customer profile in your company context, across funding, industry fit, team size, urgency, segment match and engagement, and returns a 0-100 score, its tier and the assessment note.

Monitors configured grant programmes, accelerator cohorts and funder award registers for recipients whose published scope is work we could deliver.

Actively hunts for reasons NOT to engage: massive layoffs, shrinking headcount, toxic executive turnover, recent lawsuits, or high-churn industries. Protects the team from bad revenue and wasted effort.

A hard binary gatekeeper that checks strict technical prerequisites before deep qualification. Checks for required platforms, infrastructure, or capabilities. If they fail, they are instantly disqualified, saving compute and sales rep time.

Scores individual contacts (not the company) based on authority level, engagement signals, responsiveness, role relevance, and relationship warmth. Answers: "Are we talking to the right person?"

Reviews every open deal for stalling risk and missing MEDDPICC dimensions, then writes one pipeline review note ranking what to do next on each.

Detects when a company removes, replaces or consolidates a tool in the category your services touch, and treats the change as the moment the work that tool was doing became a problem someone owns.

Plans how one account gets worked: reads the buying committee, ranks the contacts, gives each a thread, a start day, a messaging angle and its cross-referencing rules, and writes the plan as one research note that Generate Sequence reads per person.

Detects when a deal has gone quiet after the proposal, then plans and enrolls a three-message re-engagement sequence and records the strategy behind it in a note.

Deep-dives into a company's GitHub, technical docs, and public artifacts to assess engineering maturity, identify technical debt, and map service opportunities to their specific gaps.

Applies the MEDDPICC framework to an opportunity: scores the eight dimensions, decides whether it advances, holds or is disqualified, and writes the qualification note and the qualification_score memory the closing agents read.

Scans a company's blog and news page, summarizes recent articles, and extracts sales signals (product launches, migrations, hiring announcements, and technical challenges) that reveal immediate priorities and buying triggers.

Analyzes open job descriptions to extract the specific projects, tools, and technologies a company is actively building or fixing. Job descriptions are publicly posted internal roadmaps revealing immediate priorities.

Scans announcements, filings and trade press for acquisitions, divestitures and spin-offs, and files the acquirer as the prospect. A close hands a commercial team revenue in a segment it has never sold to, on a deadline it has already committed to.

Researches company culture through Glassdoor reviews, mission statements, DEI reports, engineering blogs, and social presence. Helps tailor messaging tone and qualify cultural fit.

Finds companies committing to a market they do not yet sell in. The revenue target is announced and dated, and there is no pipeline behind it.

Analyzes what a company's own customers are saying on G2, App Store, Google Reviews, and Reddit. Customer complaints reveal specific product gaps that become compelling pitch angles for UX, dev, or support services.

Scrapes government, municipal, and enterprise portals for public contract expirations, renewal dates, and new RFP postings. Catching renewals 6-12 months out allows positioning before the RFP goes public.

Monitors review sites and social forums for negative reviews or complaints about direct competitors. Highlights companies that are dissatisfied with their current vendor and ripe for a targeted outreach campaign.

Tracks new regulations, compliance deadlines, patent filings, and policy changes (GDPR, SOC2, HIPAA, etc.). External regulations force immediate, non-negotiable budget allocation for compliance solutions.

Scans opportunities that were lost, dormant or forgotten for signals that have changed since, such as funding, leadership hires and product launches, scores the case for working each one again, and writes the shortlist and its notes.

Maps the suppliers a company already pays, the platforms it is locked into and the outside teams working in the building, into a research note that names where the budget goes and which incumbent could be replaced.

Determines which compliance frameworks apply to a company (SOC2, HIPAA, GDPR, PCI-DSS) and assesses whether they are behind on compliance. Critical for selling anything security, compliance, or data-adjacent.

Performs code-level analysis of a company's public GitHub repositories: repository anatomy, issue tracker categorization, PR archaeology, roadmap-to-code verification, SDK quality assessment, and security surface scanning. Converts high-level technical gaps into proposal-ready…

Analyzes revenue estimates, runway, profitability signals, SEC filings, earnings call transcripts, and burn rate to answer "Can they actually pay?" and "What are they investing in?" Prevents wasting time pitching to companies running out of runway, and extracts strategic…

Second step of the lightweight qualify tier. Consumes the research brief and, in one reasoning pass, scores the company on ICP fit, risk, and readiness, decides a verdict, then stamps tags and promotes or drops the opportunity.

First step of the lightweight qualify tier: cheaply gathers a decision-useful fact-pack (what they do and fit, firmographics, funding, sales-readiness, buying signals) on freshly discovered companies, as input to the downstream qualify step.

Converts a qualified opportunity into a deal: sets the value from a basis it names, opens the probability from the MEDDPICC assessment, puts the buying committee on the record and writes the conversion note.

Maps every person who will shape a purchase decision at a target company, creates the contact records that are missing, and leaves a research note with the reporting picture and the order to engage them in.

Scrapes exhibitor lists, speaker rosters, and sponsor pages for industry events. Sponsoring companies have proven budgets, and referencing an upcoming event is a natural, personalized icebreaker for outreach.

Finds people arriving in roles that control the budget our services are paid from. A new leader has a mandate to change something, and it expires after about 90 days.