1 — Voice
The four pillars
Latency writes like an analyst who's done the homework. Every sentence carries weight. In a sector where everyone buries the point under three qualifications, Latency starts with the point.
Pillar 01
Sharp
Every sentence carries weight. The insight lands in the first clause, not buried in a paragraph. No filler, no hedge, no 'as mentioned earlier.'
In voice
Out of voice
Pillar 02
Authoritative
Latency speaks from data, not from opinion. It makes claims it can source. Authority here is earned through specificity, not asserted through confidence.
In voice
Out of voice
Pillar 03
Precise
Latency uses the exact term the professional uses, not the term that sounds good in a pitch deck. Precision is a trust signal in this sector. Vague language raises a flag.
In voice
Out of voice
Pillar 04
Direct
Latency doesn't build to a point. It starts with the point. Subject, verb, object. If a competitor has a structural problem, the brand names it. Indirectness reads as weakness to this audience.
In voice
Out of voice
2 — Tone by context
Same voice, calibrated differently
The brand's core voice stays consistent. What changes by context is where on each spectrum axis the writing lands, and which pillar leads. Awareness leads with Sharp. Consideration leads with Authoritative. Post-purchase and Support lead with Precise. Crisis turns all personality off.
Awareness
Provocative and specific
The goal is to make the reader feel the cost of their current stack before Latency offers an alternative. Don't introduce the product. Introduce the problem, precisely enough that the right reader recognises themselves.
Do
- Name the specific competitor the audience is using and getting wrong
- Lead with a concrete number that reframes the problem
- Write for the reader who is slightly embarrassed by their current setup
Don't
- Open with what Latency does
- Use aspirational language ('imagine a world where...')
- Claim category leadership before establishing the problem
Example
"Your PitchBook subscription covers about 30% of the European companies worth knowing. The other 70% is where the interesting deals are."
Consideration
Analytical and specific
This is where Latency earns trust by showing, not claiming. Proof before ask. The reader is evaluating whether the data quality is real and whether the AI layer holds up under scrutiny.
Do
- Lead with specific data points, not feature names
- Reference exact workflows: target mapping, sector deep-dives, add-on sourcing
- Let the product speak through concrete outputs
Don't
- Use social proof as a substitute for product proof
- Say 'AI-powered' without explaining what the AI actually does
- Claim to 'replace' existing workflows without acknowledging transition friction
Example
"We mapped the Spanish industrial packaging sector, 340 companies, ownership structures, 3-year revenue trajectories, and benchmark margins, in the time it took to write this sentence. The query took 4 seconds."
Purchase
Direct and frictionless
The decision has effectively been made. Don't re-sell. The only job here is to confirm the logic of the choice already forming in the reader's head and remove anything that creates hesitation.
Do
- Confirm what they're getting, specifically and completely
- Use the same vocabulary they used during the sales process
- Make the next step obvious and one click away
Don't
- Introduce new product claims not part of the conversation
- Get enthusiastic ('we're so excited to have you')
- Ask them to do more than one thing
Post-purchase & support
Functional, precise, gets out of the way
The user is trying to do a job. The brand's role is to help them do it faster, not to remind them they made a good choice. If something is wrong, say it's wrong and say when it'll be fixed.
Do
- Use product terminology exactly as it appears in the UI
- Give the direct answer first, context second
- Reference the specific data source behind the answer
Don't
- Say 'congratulations' or 'welcome aboard'
- Use emotional language about the relationship
- Over-apologise or use softening language
Crisis
Factual, neutral, and immediate
All personality disappears. No dry wit, no competitive framing, no confidence. One voice, one channel, one message at a time. State facts, cause, and resolution timeline. Update on a fixed schedule even if there's nothing new to say.
Example
"On March 11, a processing error affected financial data for approximately 4,200 Spanish registry entries. The affected records have been identified and flagged in the platform. Corrected data will be available by March 13, 18:00 CET."
Channel overrides
Cold outreach — PE / VC / Growth
Lead with the intelligence gap, not the product. The frame is access, not efficiency. This audience pays for edge; the outreach should feel like it's offering something most people don't get to see. One specific market claim, one concrete proof point, one ask. Never more than 120 words.
Cold outreach — B2B sales
Velocity and completeness. The frame is time-to-insight and market coverage, not depth of analysis. Get to the value claim in the first sentence. Lead with a number (50M companies, 2,000 micro-markets, 4 seconds) and follow with what it means for their pipeline. CTA is explicit, single, and near the top.
Product documentation
No marketing language. At all. Written for a user trying to accomplish a task, not a prospect evaluating a purchase. Use exact UI terminology. Write in imperative mood for instructions, indicative for explanations. Dense, functional, precise.
Short, provocative, no preamble. Sentence fragments are fine. Starting with a number is fine. No corporate language, no 'we're thrilled to announce,' no thought leadership tone. The brand's character here is the person at the conference who says the thing everyone was thinking but nobody said.
3 — Messaging
Taglines & elevator pitch
Primary tagline — locked
Decoding private markets.
Alternative
The market knows. Now you do.
Alternative
Europe's private economy, mapped.
Alternative
Find the companies others miss.
Elevator pitch
Short — 1 sentence
Latency maps Europe's private economy at source level and applies an agentic AI layer that finds the companies worth finding before your competitors do.
Medium — 2–3 sentences
Most private market platforms tell you about companies you already know. Latency finds the ones you don't. We've normalised 50M European entities across every major registry, built a proprietary taxonomy across 2,000+ micro-markets, and built an AI system that maps your investment thesis onto that data and surfaces what fits, continuously and without manual queries.
Long — full paragraph
The infrastructure serving European private markets was built for a different era and, largely, for a different continent. The result is a market where analysts routinely run three platforms in parallel, financial data arrives 18 months after the fact, and the most interesting companies stay effectively invisible. Latency was built to solve the architecture problem that makes this normal: starting from source-level European registries across all major jurisdictions, linking legal entities to the commercial brands they actually operate, and layering a genuinely deterministic AI intelligence system on top. The firms using Latency today arrive at targets before they're mapped by the consensus, run market deep-dives in minutes not weeks, and run their investment thesis as a systematic query rather than a senior analyst's institutional memory.
Key messages by audience
4 — Vocabulary
Approved & forbidden
Precise language is a trust signal in this sector. Vague language raises a flag. The list below is not exhaustive; it reflects the pattern of what's in and out of voice.
Approved — use these
Forbidden — delete on sight
Boilerplate copy
Short (~50 words); social bio, app store, about section
Latency decodes European private markets. We've normalised 50M companies across every major registry, built a proprietary taxonomy of 2,000+ micro-markets, and layered an agentic AI system that maps your investment thesis onto the data and finds what fits. One platform. No Excel bridges. Source-level, traceable, European-first.
Medium (~100 words); website about page
European private markets have a structural data problem. The platforms built to navigate them were designed for US venture and retrofitted for European complexity, with all the coverage gaps, mismatched taxonomies, and unverifiable AI outputs that implies. Latency was built differently: starting from source-level European registries, normalising 50M companies across all major jurisdictions, and building an intelligence layer that links legal entities to the commercial brands they actually operate. The result is a single platform where investment funds and B2B sales teams run thesis-driven market scans in seconds, find the companies they didn't know they were looking for, and arrive with context no competitor has.
Long (~200 words); press release boilerplate
Latency is the agentic intelligence platform for European private markets. Founded in 2023 by a team of investors and technology experts who experienced the problem directly, the company has built the most complete source-level dataset for European private companies: 50M normalised entities across all major registries, 12M with full verified financials, and a proprietary taxonomy spanning 2,000+ micro-markets across sectors that competing platforms fail to index adequately.
Where legacy platforms aggregate data from third-party sources and apply generic AI on top, Latency ingests directly from official European registries, resolves legal entities against the commercial brands they operate, and runs a deterministic analytical layer that connects market structure to the user's investment thesis. Latency reached early commercial traction across two primary use cases: deal sourcing at private equity firms and B2B sales prospecting at mid-market companies. For more information, visit latencydata.com.