Frame
A question you can't research is a worry, not a question.
Every engagement starts with framing: your question is broken into researchable dimensions — market, money, people, mechanics, competition, timing. Each dimension is sharp enough to be owned end-to-end by a single research agent, and together they cover the question without gaps or overlaps.
This is where most research quietly fails — by answering a vaguer question than the one you asked. We write the dimensions down and agree on them with you before a single agent is fielded.
Fan out
Dozens of agents, one dimension each, none reading over the others' shoulders.
We field fleets of research agents in parallel — across web sources, recorded interviews, and your own data. Each agent owns one dimension and is held to a mechanism-level standard: not just what is true but why it works, with second-order effects traced and arithmetic done on every number it touches.
Agents don't see each other's conclusions while researching. Independence now is what makes agreement meaningful later.
Cross-examine
Every claim meets agents whose only job is to kill it.
A second wave of agents attacks the first wave's findings. This is adversarial verification, not polite double-checking: each claim is actively refuted against independent sources, and a claim that can't hold two of them doesn't hold a place in the report.
The refuted claims stay visible — struck through, with the score that killed them. You should see how hard your answers were tested.
C-012
C-011 Category growing 11.4% CAGR ✓ VERIFIED — cited [7], timestamped
Every report prints its method line: agents fielded · sources fetched · claims verified · claims refuted
Label
Facts are cited. Judgement is labelled. Nothing is dressed up as the other.
Every sentence in a Deeplytica report carries a mark. Verified facts are cited with a number you can follow to the source, timestamped. Extrapolations are marked INFERENCE with their assumptions written next to them. Our advice is marked RECOMMENDATION. And what we couldn't confirm says UNVERIFIED — never guessed.
Each report ends with an honest section: open gaps and the next research pass — naming exactly what we could not verify and what it would take to close it.
Synthesize
Three hostile readers before you ever see a page.
Before synthesis, the verified body of findings is put through three cross-cutting hunts. A cold-blooded CFO pass: where is the money actually made and lost? A reality pass: what did the interviews and the data show that everyone was too polite to say? And a pre-mortem: the three most plausible ways this strategy is dead in eighteen months, written as if it already happened.
Only then does the report get written — executive summary, blind spots, sharpest insights, ranked opportunities, and the roadmap.
Land
Research that doesn't end in a dated step is a literature review.
Every insight in the report resolves to a first concrete step your team can take on a definite date — sized in euros where money is involved, with the assumptions named. The roadmap is phased: days 0–30, months 1–3, months 3–9 — so the report starts working the week you receive it.
The machinery under the method.
Multi-agent orchestration
Dozens of specialist agents per engagement, orchestrated in phases — dimension analysts, refuters, cross-cutting readers. They work independently, so when they agree it means something.
Guardrails
Every agent works inside a written mandate: what it may claim, what it must escalate, what it can never invent. No unlabelled sentences leave the pipeline, and every pass is journaled — including refusals.
The deep-research engine
An engine that indexes far more than a browser tab: your documents, ERP exports, price lists, contracts, and interview transcripts alongside the open web — so the research reads your reality, not just the market's.
The stacked-skills library
700+ research skills across 28 categories — interview analysis, competitive benchmarking, data mapping, market sizing, and more. Every engagement composes the skills it needs, and findings are compared against the library's accumulated methods and benchmarks. It looks like a small difference. It isn't.