ArcheSell

Meet Scout. Your Digital Sales Teammate.

Scout works alongside your revenue team — researching customers, preparing for important moments, noticing what changes, and helping turn revenue intelligence into action.

Scout starts with the same customer and opportunity context your team already works from — not an empty prompt.

Portfolio

Good morning, Marcus. Here's where you stand.

Quota attainment
82%
$1.8M of $2.2M year to date
Remaining gap
$400K
To hit your number
Pipeline coverage
3.5×
$1.4M open against the gap

Coverage is enough for the gap, so today is about protecting the book and advancing the two deals closest to a buyer milestone. Here’s the work, in the order I’d take it, starting with what’s waiting on you.

Discovery held, follow-up unanswered — nudge while it’s warm

High confidence

A teammate for the work around selling.

Research before outreach. Prepare before meetings. Notice important changes. Help follow through after customer interactions.

  • Scout finds

    Researches the market, surfaces accounts worth pursuing, and explains why they fit and why now.

  • Scout prepares

    Builds account research, meeting context and approaches before your team needs them.

  • Scout notices what changes

    Tracks meaningful changes across customers, opportunities, interactions and signals.

  • Scout helps act

    Drafts outreach, follow-up and next moves, with people in control of customer-facing work.

Scout doesn’t start from scratch.

Scout works from ArcheSell’s shared Revenue Brain — the customer, opportunity and company context your team already works from.

Standalone agentReconstructing contextScoutStarting from shared
Revenue Brain
  • Standalone agent Reconstructing context
  • Scout Starting from shared Revenue Brain

The context is already there when Scout starts working.

TetraScience logo

TetraScience

Prospect

tetrascience.com ·Boston, MA·Lab automation

TetraScience runs a scientific data cloud that connects lab instruments and harmonizes R&D data for analytics and AI across biopharma. They sell into mid-market and enterprise life-sciences orgs and are scaling their go-to-market team.

ICP fit88Strong
Revenue potential$210K
Buying windowActive
Attention90

Account team

  • Marcus TianMarcus TianOwner
  • Priya NairPriya Nair
  • Lena ChoLena Cho

Scout’s Assessment

A fresh buying mandate just landed — but no champion yet.

A mandate this fresh gets shaped in its first weeks — and it is being shaped without you.

In conversationWorth pursuing nowConfidenceHigh

Scout’s Move

Reach out to Dana Whitfield about reporting consistency

Dana WhitfieldDana WhitfieldBest entryVP Sales

The only contact here who has actually met us — coverage is 1 of 5 roles.

Recommended entry

High confidence

Keep working the VP Sales relationship, then build a champion in RevOps.

Discovery surfaced a clear reporting gap before the deal formed in both recent biotech wins — and early engagement here creates urgency to move now.

How to open

Open on the reporting strain the team is feeling — anchor to a relevant benchmark, not a demo ask.

Problems to lead with

  1. 1

    Reporting consistency

    High

    Reporting is fragmented across spreadsheets while the sales organization is being scaled, so the inconsistency compounds every month it is left.

    Read from Company priority · Consolidate lab data spend onto one platform · Discovery call · Jun 2026
  2. 2

    Ramp time for new sellers

    Medium

    Faster onboarding is a stated priority, and administrative work appears to be consuming the capacity that would go into ramping.

    Read from Discovery call · Jun 2026
  3. 3

    Forecast trust at board level

    Medium

    The forecast is consolidated by hand each week, which is where credibility is lost before the number ever reaches the board.

    Read from Discovery call · Jun 2026

Winning pattern

Read from 8 similar wins in Biotech · 200–500 employees. The order below is how those deals actually ran.

  1. 1

    VP Sales

    Won 7 of 8

    Owns the mandate.

  2. 2

    RevOps

    Won 6 of 8

    Runs the evaluation.

  3. 3

    Exec Sponsor

    Won 5 of 8

    Approves the budget.

Scout generated this approach from its 6d read of TetraScience. The full strategy — stakeholder routes, the buying pattern, value hypotheses and messaging — is in the report.

Work with Scout throughout your day.

  1. Start with what matters

    See customers, opportunities and decisions that need you — with the context behind each one.

    Scout

    Good morning, Marcus. Here's where you stand.

    Quota attainment
    82%
    $1.8M of $2.2M year to date
    Remaining gap
    $400K
    To hit your number
    Pipeline coverage
    3.5×
    $1.4M open against the gap

    Coverage is enough for the gap, so today is about protecting the book and advancing the two deals closest to a buyer milestone. Here’s the work, in the order I’d take it, starting with what’s waiting on you.

    Discovery held, follow-up unanswered — nudge while it’s warm

    High confidence

  2. Prepare for a meeting

    Scout brings together the account, people, recent interactions, deal context and relevant company knowledge.

    1. Accounts
    2. Confluent
    3. Governance walkthrough — Confluent

    Governance walkthrough — Confluent

    ReportMeeting prep · today
    When
    Thu, Jul 2, 2026 · 11:00 AM
    Where
    Google Meet
    Account
    Confluent
    From the buying group
    3 people
    What a good meeting looks like

    Neha leaves with a governance one-pager she is willing to forward to her VP, and a date for the platform team to connect one cluster read-only.

    • Lineage through the transformation layer is answered on their own pipeline, not on a demo one
    • Retention and approvals are settled well enough that neither comes back as a written question
    • The one-pager is handed over in the room — not promised
    • A named date for the read-only connection, with Marco in the room for it
    Their agenda

    • 1. Data lineage

      Neha’s first item, and the one Marco did not clear on 30 June. Slides 2 and 3 answer it on their own partner-data pipeline.

    • 2. Retention windows

      A compliance question wearing a technical hat — she needs a number she can quote, not a capability.

    • 3. Who approves access

      The real question underneath is whether the platform team own access or the domain teams do. Ask; do not assume.

    How to run it
    1. 1
      Open

      “Last time Marco got as far as the transformation layer and stopped — so I’ve traced four fields from your own partner-data pipeline. Can we start there?”

      Opens on her first agenda item and on the one thing left open from the last meeting, in one sentence. It also says the work was done on their data rather than a sample, which is the difference between a demo and an answer.

    2. 2
      Ask

      “When your VP asks who signed off on a dataset, where does she look today — and who does she ask?”

      The approvals item is the one nobody has scoped. This gets the current process named out loud, which is the only way to know whether topic-level ownership fits or breaks their model.

    3. 3
      Land

      “Retention is set per class and per topic, so your platform team changes it without a ticket to us — here are the four classes and what each defaults to.”

      The retention question is really about autonomy. The table on slide 4 is the proof; hand it over rather than talking through it.

    4. 4
      Close

      “Take the one-pager to your VP this week. If it lands, can we put twenty minutes with Marco in the diary to connect one cluster read-only?”

      The ask is the connection, not the deal — and naming Marco is what stops it becoming a meeting Neha has to run alone.

    What to have open
    Who’s in the room
    • Neha RaoNeha RaoData Lead · Champion · High influence · Supportive · Accepted · Last spoke 2dGetting a governance answer she can forward without translating it first.“What does your VP need to see before she signs off on a new data path?”
    • Marco RuizMarco RuizPlatform Engineer · Technical Evaluator · Medium influence · Supportive · Accepted · Last spoke 2dWhether lineage survives a join, because that is where his last question died.“If we trace sla_breach back through the window function, does that satisfy the audit?”
    • Hana KimHana KimAnalytics Manager · Influencer · Medium influence · Neutral · No reply yet · Never in a thread with youReporting she does not have to rebuild every quarter.“Which of your reports currently break when a source topic changes shape?”
    What they’ve said
    We already run Databricks for this, so anything new has to be clearly better, not just cheaper.
    — Marco Ruiz · 2d

    Scout: Marco named Databricks as the incumbent: anything new has to be clearly better, not just cheaper.

    Listen for
    • Whether the platform team actually own access, or the domain teams do — the approval routing changes either way
    • Any mention of a VP deadline; it would tell you what the real timeline is
    • Whether Databricks comes up as an incumbent or as a neighbour
    Still owed to them

    • She said the VP will ask about lineage and retention first — send the governance one-pager, not the full deck.

      Your note · today

  3. Notice important changes

    Tracks meaningful changes across customers, opportunities, interactions and signals.

    1. Accounts
    2. Confluent
    3. Technical review — streaming + governance
    Confluent logo

    Technical review — streaming + governance

    WhenJun 30, 1:00 PM
    Length52m
    OutcomeHeld

    Scout’s read

    Marco RuizMarco cleared the streaming design; governance is the open question. Neha RaoNeha committed to bringing her VP into the next session, and Databricks logoDatabricks came up as the incumbent they’d have to justify replacing.

    What mattered

    Commitment

    “Then let me get you the access-approval workflow in writing this week — who can approve what, how delegation works, and what the audit record looks like afterwards.”

    Marcus TianMarcus Tian24:48

    Scout · You’ll send the access-approval workflow in writing this week: who approves what, how delegation works, what the audit record looks like.

    Commitment

    “Let me bring him into the next session.”

    Neha RaoNeha Rao46:30

    Scout · Neha will bring her VP, who decides, into the next session.

    Competitor

    “We already run Databricks for this, so anything new has to be clearly better, not just cheaper.”

    Marco RuizMarco Ruiz38:12

    Scout · Databricks is the incumbent; anything new has to be clearly better, not just cheaper.

    What was discussed

    1. 00:00 – 09:02Streaming design: exactly-once from Kafka, replay from an offset. Marco RuizMarco has no objection; topics are partitioned by region, not tenant, which the connector reads from its config.
    2. 09:02 – 24:48Governance: column-level lineage through the transformation layer, seven-year retention for regulated data and ninety days elsewhere, and who approves access.
    3. 24:48 – 38:12The access-approval workflow, in writing this week; governance as a policy the platform enforces rather than a screen.
    4. 38:12 – 52:00Databricks logoDatabricks as the incumbent and what clearly better would have to mean; the next session, with Neha RaoNeha’s VP.

    The words are in the transcript below.

    What this produced

    • Policy owner joining the next session

      On the technical review Neha Rao said she would bring her VP, who owns the policy side, into the next session — governance is the gate, and its owner is now in the room.

      Signal on Confluent

    • Databricks named as the incumbent to justify replacing

      The same review surfaced Databricks as the sitting platform any decision has to be argued against.

      Signal on Confluent

    • Prep the governance walkthrough, then multi-thread to the economic buyer

      Scout’s next move on Confluent

    Transcript

    Open in Google Meet

    Meet transcript

    1. 00:00You

      Thanks for making the time. The plan I had was streaming first, since Marco has the most to say there, and then governance — Neha, I know that is the one you actually care about.

    2. 00:41Neha RaoNeha Rao

      That works. Fair warning that I will spend most of the hour on governance. Streaming is Marco’s problem and he seems happy.

    3. 01:06Marco RuizMarco Ruiz

      I am. We went through the ingest path last week with Tomas. Exactly-once from Kafka through to the warehouse, replay from an offset rather than a full reload, and the schema registry stays where it is. There is nothing in that design I would push back on.

    4. 02:34Tomas BergTomas Berg

      The only thing I would add is that our topics are partitioned by region, not by tenant. If the connector assumes tenant partitioning we would be re-keying about forty million events a day.

    5. 03:20You

      It reads the partition key from the topic config, so region partitioning is fine. I will put that in writing with the connector docs so nobody has to take my word for it in a design review.

    6. 08:15Marco RuizMarco Ruiz

      Then from my side the streaming design is cleared. I would sign off on it today.

    7. 09:02Neha RaoNeha Rao

      Good. Governance then. The thing I keep running into is lineage. Every vendor shows me table-level lineage and calls it done. I need column-level — if a number moves in a board deck I have to be able to say which upstream field changed it.

    8. 13:44You

      Column-level, including through the transformation layer. I can show you that live rather than describe it, but the short version is yes.

    9. 17:30Neha RaoNeha Rao

      The other half is retention. Regulated datasets are seven years and that is not negotiable — it comes from our auditors, not from us. Everything else we would rather keep to ninety days so we are not storing what we do not need.

    10. 21:55Tomas BergTomas Berg

      And who approves access? Right now a request to our warehouse goes to Neha, and it sits in her inbox for a week, and then people give up and export to a spreadsheet. Which is the actual governance problem, if we are being honest.

    11. 23:10Neha RaoNeha Rao

      He is being honest.

    12. 24:48YouCommitment made

      Then let me get you the access-approval workflow in writing this week — who can approve what, how delegation works, and what the audit record looks like afterwards.

  4. Follow through

    Scout helps capture what changed and prepares the next move.

    Scout

    TetraScience is off your plate. Here's what's left:

    Champion silent 12 days on an open proposal — reopen the thread

    High confidence

Scout works with you, not around you.

  1. Prepare.Research, summarize, organize context and draft work.
  2. Recommend.Explain what it sees, why it matters and what it thinks should happen next.
  3. Act within boundaries.Customer-facing work stays within company permissions and approval rules.

Review Scout’s draft· TetraScience

To
Dana Whitfield
Subject
Closing the gap at TetraScience

Hi Dana,

I’ve been thinking about TetraScience since our last touchpoint — specifically the reporting gap you flagged on our discovery call.

Teams at this stage usually hit the point where the tooling can’t keep up with the pace — that’s the exact gap Arche Analytics was built to close.

If it’s useful, I can share how similar teams approached it — no pitch, just the teardown. Worth a conversation?

Best, Marcus Tian

More autonomy is earned through evidence, reliability and trust — not assumed from day one.

Scout gets better as ArcheSell learns how your company wins.

Customer interactions and outcomes create new evidence. Validated patterns become reusable revenue knowledge Scout can work from.

The first member of your Digital Workforce.

Scout is ArcheSell’s first specialized digital worker. Future workers can take on other revenue roles while sharing the same context and governance.

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