We audited the marketing at theom
Cloud data governance and breach detection for enterprise data lakes
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Series A company with 33 headcount but minimal visible content presence, suggesting marketing resources concentrated elsewhere
Product complexity (MITRE ATT&CK mapping, SIEM/SOAR integrations) requires technical narrative that likely isn't reaching buyers early in awareness
6.8K LinkedIn followers for funded security startup indicates limited founder-led outreach despite strong investor backing from Databricks and Snowflake
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Tinuititheom's Leadership
We mapped your current team to understand where MH-1 fits in.
MH-1 doesn't replace your team. It becomes your marketing team: dedicated humans + AI agents running execution at scale while you focus on product.
Here's Where You Stand
Series A security startup with strong funding but underdeveloped demand generation and thought leadership infrastructure
Technical keywords around data governance and cloud security likely rank moderately, but content depth on access control detection is thin
MH-1: SEO agent builds pillar content on MITRE ATT&CK detection and compliance reporting to capture enterprise security buyers
LLM responses about data breach detection and governance likely default to generic security solutions, not Theom's data-centric approach
MH-1: AEO agent seeds research content and case studies showing how Theom detects attacks on Snowflake and Databricks specifically
Security and data governance buyer committees require education, but paid programs likely underinvest in nurturing complex buying groups
MH-1: Paid agent runs account-based campaigns to data engineering and security leaders with compliance-focused messaging
Founder visibility on LinkedIn is minimal despite co-founder holding SVP BD title, content likely technical but not widely distributed
MH-1: Content agent publishes data breach case studies, compliance frameworks, and architecture guides with Farid as visible voice
Customer base likely concentrated in data platform buyers, but multi-platform support (Snowflake, Databricks, Azure, AWS) suggests expansion potential untapped
MH-1: Lifecycle agent maps expansion workflows to secondary data platforms and compliance verticals within existing accounts
Top Growth Opportunities
Data breaches tied to access control failures cost enterprises millions, but Theom's NIST, HIPAA, HITRUST mapping isn't widely known
Content and SEO agents build compliance frameworks content showing how Theom satisfies auditors without requiring data movement
Organizations buying Snowflake or Databricks need governance layer but aren't aware Theom is embedded-native alternative to external tools
Outbound and paid agents target data engineering and security leaders during platform evaluations with integration-first messaging
Theom's unique MITRE mapping differentiates from legacy access control tools but this advantage isn't reflected in search or paid presence
AEO and SEO agents establish thought leadership on cloud data attack detection with technical content referencing framework
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for theom. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns theom's growth roadmap. Pipeline strategy, account expansion playbooks, board-ready reporting. Translates AI insights into revenue.
Runs paid acquisition across LinkedIn and Google. Manages creative testing, budget allocation, and pipeline attribution.
Builds thought leadership on LinkedIn. Creates long-form content targeting your ICP. Manages the content-to-pipeline engine.
AI Agents
Monitors AI citation visibility across 6 LLMs weekly. Builds content targeting category queries to increase theom's presence in AI-generated answers.
Produces LinkedIn ad variants targeting your ICP. Tests headlines, visuals, and offers at 10x the speed of manual production.
Builds lifecycle sequences: onboarding, expansion triggers, champion nurture, and re-engagement for dormant accounts.
Founder thought leadership. Builds the narrative that drives enterprise inbound from senior decision-makers.
Tracks competitors. Monitors positioning changes, ad spend, content strategy. Informs your counter-positioning.
Attribution by channel, pipeline velocity, budget waste detection. Weekly synthesis reports with AI-generated recommendations.
Weekly market intelligence digest curated from theom's industry signals. Positions you as the intelligence layer. Drives inbound pipeline from subscribers.
Active Workflows
Here's what the MH-1 system would be doing for theom from week 1.
AEO: Research and seed LLM visibility with data governance evaluation guides, breach detection architectures, and platform-specific compliance playbooks targeting security and engineering queries
Founder LinkedIn: Farid publishes weekly data access security insights, breach analysis, and governance trends to activate investor network and build founder credibility with enterprise buyers
Paid ads: Account-based campaigns target data engineering and security leaders evaluating governance solutions with MITRE ATT&CK detection and compliance reporting value props
Lifecycle: Map expansion sequences from Snowflake buyers to Databricks deployments, Azure integration, and AWS multi-account governance with cross-platform playbooks
Competitive watch: Monitor MetaOme, Theoris, and other access governance solutions for feature claims and position Theom's embedded-native advantage in paid and organic
Pipeline intelligence: Track job openings at Fortune 500 companies for data engineering and security hiring to identify governance investments and time outbound campaigns
Traditional Marketing vs. MH-1
Traditional Approach
MH-1 System
Audit. Sprint. Optimize.
3 phases. Real output every 2 weeks. You see results, not decks.
AI Audit + Growth Roadmap
Full diagnostic of theom's marketing infrastructure: SEO, AEO visibility, paid, content, lifecycle. Prioritized roadmap tied to pipeline metrics. Delivered in 7 days.
Sprint-Based Execution
2-week sprint cycles. Real campaigns, not presentations. Each sprint ships measurable output across your priority channels.
Compounding Intelligence
AI agents monitor your channels 24/7. They catch budget waste, detect creative fatigue, track AI citation changes, and run A/B experiments autonomously. Week 12 is measurably better than week 1.
AI Marketing Operating System
3 elite humans + AI agents operating your growth system
Output multiplier: ~10x output at a fraction of the cost. The system gets smarter every week.
Month-to-month. Cancel anytime.
Common Questions
How does MH-1 differ from a marketing agency?
MH-1 pairs 3 elite human marketers with 7 AI agents. The humans handle strategy, creative direction, and judgment calls. The AI agents handle execution at scale: generating ad variants, monitoring competitors, building email sequences, tracking citations across LLMs, running A/B experiments autonomously. You get the quality of a senior marketing team with the output volume of a 15-person department.
What kind of results can we expect in the first 90 days?
First 90 days focus on embedding AEO and content infrastructure to capture data governance buyers early in awareness, running paid experiments targeting data engineering teams at companies scaling Snowflake or Databricks, activating Farid's founder network on LinkedIn to build thought leadership, and launching outbound sequences to security buyers evaluating MITRE ATT&CK-based detection solutions.
How does Theom detect attacks on cloud data lakes that competitors miss
Theom monitors all data access events and builds user/role fingerprints to identify abnormal behavior, then maps detected attacks to the MITRE ATT&CK framework. Unlike perimeter-focused tools, Theom's data-centric approach detects attacks as they happen within Snowflake, Databricks, Azure, and AWS without moving sensitive data out of your platform.
Can we cancel anytime?
Yes. MH-1 is month-to-month with no long-term contracts. We earn your business every sprint. That said, compounding effects kick in around month 3 as the AI agents accumulate data and the system learns what works for theom specifically.
How is this page personalized for theom?
This page was researched, audited, and generated using the same AI infrastructure we deploy for clients. The channel scores, team mapping, growth opportunities, and recommended agents are all based on real analysis of theom's current marketing. This is a live demo of MH-1's capabilities.
Shift data governance from reactive to predictive with autonomous access control detection
The system gets smarter every cycle. Let's talk about building it for theom.
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