AGT-01Live
Research Agent
Reads filings, hiring signals, tech installs and news to keep every target account current not current as of the last list purchase.
emits account dossier · intent signal
Arkentech.ai / Revenue Operating System
The AI operating
system for revenue
teams.
Stop renting campaigns. Deploy a workforce of autonomous agents that research your market, qualify every contact, personalise every touch, verify every lead and report the result continuously, without a queue.
128,654+Qualified leads
delivered
delivered
60M+Contacts in the
account graph
account graph
98%Delivery
acceptance rate
acceptance rate
THROUGHPUT · 1,284 RECORDS/MIN
Trusted by enterprise technology teams
Running demand programmes for brands operating across 6 regions.
AWSCISCOLenovo
NielsenPyramid AnalyticsSalesforce
AWSCISCOLenovo
NielsenPyramid AnalyticsSalesforce
The shift
Marketing didn't get
harder. It got faster
than people.
A buying committee moves through eleven touchpoints in the time a campaign takes to get approved. The bottleneck was never strategy it was the number of decisions a human team can make in a day.
◇ The manual stack
- 01Lists are bought once, then decay 2.1% every month until the next refresh.
- 02Scoring is a static point model that nobody has retuned since it was built.
- 03Creative is written for a persona, not for the account reading it.
- 04Tests wait for a weekly meeting, so the losing variant runs five more days.
- 05Verification is a sample. The rest arrives in the CRM unchecked.
- 06Reporting is assembled by hand, and it is already old when it is read.
◆ The autonomous stack
- 01The account graph is re-enriched continuously from filings, hiring and tech signals.
- 02Every contact is rescored the moment a new signal lands.
- 03Creative is generated per segment and versioned against what replies.
- 04Tests run continuously. Winners are promoted the hour they win.
- 05Every record is checked against your spec before it leaves the platform.
- 06Attribution, pacing and pipeline are one live model, not a deck.
Your AI workforce
Ten agents. One
continuous shift.
Each agent owns a job a person used to do between other jobs. They share one memory of your market, so what research learns, creative writes and voice confirms.
AGT-02Live
Lead Scoring Agent
Ranks every contact against the pattern of deals you actually closed, and rescores the moment a new signal changes the picture.
emits fit score · priority tier
AGT-03Live
Segmentation Agent
Clusters your database by behaviour and fit, then keeps the clusters alive as behaviour moves. No quarterly re-segmentation project.
emits live segment · audience
AGT-04Live
Database Intelligence Agent
De-duplicates, repairs, enriches and validates records. Kills decay at the source instead of paying for it later in bounce rate.
emits clean record · confidence
AGT-05Live
Creative Agent
Generates and versions ad, landing and email creative in each segment's own language, then retires the variants that stop earning attention.
emits variant set · asset
AGT-06Live
Email Intelligence Agent
Writes, sequences and times outbound per contact. It learns from reply behaviour and meetings booked not from open rates.
emits sequence · send window
AGT-07Beta
Voice Agent
Runs the qualification call, confirms budget, timing and intent, books the meeting, and attaches the transcript to the record.
emits transcript · booked meeting
AGT-08Live
QC & Verification Agent
Checks every lead against your delivery spec before it leaves the platform, and rejects what fails instead of passing it downstream.
emits pass / reject · reason code
AGT-09Beta
A/B Testing Agent
Runs continuous multivariate tests across copy, offer, channel and timing, and promotes the winner the hour it reaches significance.
emits winning variant · lift
AGT-10Live
Reporting Agent
Compiles attribution, pacing and pipeline into the report your board already reads built from the same data the agents acted on.
emits board report · forecast
AGT-11 →Roadmap
Build your own
Define a job, give it your data and your approval rules, and run it alongside the rest of the workforce.
The AI growth engine
Watch a signal
become pipeline.
One record enters the engine and ten agents work it in sequence. Select any stage to see what it receives, what it decides, and what it hands to the next agent.
AGT-01
Research Agent
Receives
Hands off
Platform
Built to sit inside
an enterprise, not
beside one.
Agents are the visible part. Underneath sits the identity graph, the control plane and the audit trail that make an autonomous programme something procurement will actually sign.
Four layers, one control plane
Every agent decision is traceable from the raw signal that triggered it to the record that left the platform.
LAYER 04Agent runtime — orchestration, hand-offs, retries, human approval gates
LAYER 03Reasoning — scoring, segmentation, generation, evaluation
LAYER 02Identity graph — accounts, contacts, signals, consent state
LAYER 01Ingest — CRM, MAP, warehouse, ad platforms, telephony, web
Governance you can show an auditor
Regional data residency, consent tracking, approval gates on any agent action, and a full log of what ran and why.
Connects to the stack you already run
Two-way sync, not a nightly export. Changes an agent makes appear in your systems within the minute.
Reporting that closes the loop
Attribution, pacing and pipeline read from the same records the agents acted on, so the number in the board deck matches the number in the CRM.
Solutions
Pick the outcome.
The engine assembles
the agents.
You don't configure a workflow. You state the outcome you're accountable for, and the platform decides which agents run, in what order, against which segment.
Revenue intelligence
One live model of pipeline instead of four dashboards that disagree. Every account carries its own history: what it read, what it ignored, who moved, and what that predicts.
- ◆Account-level health scoring updated on every new signal
- ◆Forecast built from behaviour, not from rep optimism
- ◆Attribution that survives a multi-quarter buying cycle
1 modelReplaces disconnected dashboards
Real timeRescored on each signal
Full trailSignal to closed won
AI lead generation
Demand you can put a number against. Agents build the audience, run the programme, verify each record against your spec, and reject what fails before it reaches your team.
- ◆Every lead verified against your delivery criteria pre-handover
- ◆Content syndication, paid and outbound working off one audience
- ◆Replacement guarantee on any record that fails your QC
98%Delivery acceptance
128,654+Leads delivered
100%Records verified
Outbound automation
Sequences that read the room. Timing, channel and message adapt per contact based on what they did last, and the whole programme retunes itself as reply behaviour shifts.
- ◆Per-contact send windows learned from reply history
- ◆Email, voice and social running as one sequence
- ◆Deliverability guarded by the QC agent, not by a checklist
24/7Continuous operation
Per contactTiming and channel
AutoWinner promotion
Account based marketing
Named-account plays run end to end. The research agent maps the buying committee, creative writes to each role, and the engine keeps the whole account warm between sales touches.
- ◆Buying-committee mapping refreshed as people change roles
- ◆Role-specific creative for champion, economic buyer and technical evaluator
- ◆Account engagement scored across every channel in one place
CommitteeMapped, not guessed
Per roleCreative versioning
One scoreAcross all channels
Customer intelligence
Segments that stay true. The platform watches behaviour continuously and moves contacts between segments as they move including out of segments they have quietly left.
- ◆Behavioural clustering that updates without a re-segmentation project
- ◆Churn and expansion signals surfaced from product and marketing data together
- ◆Database health monitored and repaired continuously
LiveSegment membership
ContinuousDatabase repair
EarlyChurn signal
Marketing automation
The parts of your MAP that were always going to be rules become decisions instead. Agents own nurture, scoring thresholds and routing, and explain every change they make.
- ◆Nurture paths generated per segment rather than per branch
- ◆Routing rules that adjust as territory and capacity change
- ◆Works alongside Marketo, HubSpot or Dynamics no rip and replace
No rebuildRuns with your MAP
ExplainedEvery rule change
MinutesSync latency
Sales enablement
Reps open an account and find the work already done: what changed this week, who to call, what to open with, and the transcript of the qualification call that got it here.
- ◆Account brief refreshed before every meeting
- ◆Call transcripts and intent evidence attached to the record
- ◆Next-best-action ranked by what closed similar accounts
Pre-callBrief auto-built
AttachedTranscript + evidence
RankedNext best action
Industries
We only work where
the buying cycle
is complicated.
Long committees, technical evaluation, procurement, compliance. The markets where a generic list is worth nothing and a correct one is worth a quarter.
IND 01
SaaS
Product-led signals joined to sales-led motion, with expansion tracked alongside new logo.
IND 02IT services
Long, relationship-led cycles where the trigger is a contract renewal you have to see coming.
IND 03Cybersecurity
Committees that include security, legal and finance each needing a different argument.
IND 04Cloud & infrastructure
Migration and consumption signals that predict the deal months before the RFP.
IND 05Manufacturing
Regional distribution, technical specifiers, and buyers who don't live in your CRM.
IND 06Healthcare
Consent-first programmes with residency and audit requirements built into the run.
IND 07Enterprise technology
Global demand programmes coordinated across regions and partner channels.
IND 08 →Somewhere else
If your cycle is long and your data is messy, the engine is probably a fit. Ask us.
Proof
Outcomes, not
impressions.
Three programmes, three different problems. In each one the measurement stayed the same: qualified pipeline accepted by the sales team.
3.4×
Qualified pipeline
Rebuilding demand for an HR technology firm after a flat quarter
61%
Lower cost per qualified lead
Finding high-value accounts for a VoIP leader in a saturated category
17days
To first accepted lead
Standing up an ABM programme for a cybersecurity vendor entering EMEA
Arkentech has been a real partner in our demand generation work responsive, reliable, and genuinely effective at expanding brand awareness and generating new leads.
Arkentech Labs
What we're testing
before it ships.
◆ Select beta customers only
Labs is where new agents run against live programmes with a human in the loop. If you want to be early, we take a small number of design partners per cohort.
LAB 01Beta
Agentic workflows
Agents that plan their own sequence of steps toward an outcome instead of following a fixed chain.
LAB 02Beta
AI voice agents
Qualification calls that hold a real conversation, confirm intent and book the meeting.
LAB 03Beta
Rapid A/B testing agents
Continuous multivariate testing that promotes winners without waiting for a review.
LAB 04Alpha
Behavioural conversion analytics
Modelling the path an account takes to convert, then intervening at the step that predicts it.
LAB 05Alpha
AI-enhanced email platform
Interactive email that adapts its content at open time to what the reader has done since.
LAB 06Alpha
Database enhancement engine
Autonomous repair and enrichment of large, decayed databases without a migration project.
Book a demo
Bring one messy
database. We'll show
you what's in it.
A 30-minute working session. We run the research and scoring agents against a sample of your data live, and you keep the output whether or not you buy anything.
30 minutesNo data leaves your regionYou keep the output