## Parallel agent swarms, not one-at-a-time chat Dispatch a brief and Spine runs research, synthesis, and document creation in parallel. Multiple agents each handle a workstream and pass structured output to the next, returning a complete deliverable rather than a thread of text responses. ## State-of-the-art research, benchmarked #1 Spine Deep Research scores 87.6% on Google DeepMind’s DeepSearchQA — the hardest public multi-step research benchmark — ahead of Perplexity Deep Research (79.5%), Claude (76.1%), ChatGPT (71.3%), and Gemini Deep Research (66.1%). ## Client-ready output in real formats Goldman Sachs-style reports, .pptx strategy decks, .docx briefs, Excel models with formulas and scenario tabs, competitive benchmarks, financial projections, and interactive dashboards — formatted and ready to send, not rough drafts. ## Automations across your apps Schedule recurring Spine workflows (daily, weekly, monthly, or custom) and connect them to the tools you already use via integrations, MCP, API, and webhooks. ## Use cases by role ### Investors Market sizing, competitive landscapes, earnings analysis, and investment memos — from public filings and data. - Build a TAM/SAM/SOM model for [market] triangulating industry reports, public company disclosures, and analyst estimates — with sources, assumptions, and scenario tabs - Research 15+ companies in [sector], their positioning, funding, revenue signals, and key risks — produce an investment thesis memo with comparable valuations - Analyze the last 4 quarters of earnings calls for [company] and its 5 closest peers — extract sentiment shifts, guidance changes, and strategic pivots into a cross-company trend report - Research SEC filings, insider transactions, and 13F institutional ownership changes for [company] over the past 6 months — produce a smart money signals report with charts ### Consultants Industry landscapes, market sizing, due diligence, and competitive intelligence — client-ready in minutes. - Research the [industry] landscape: map the top 15 companies by segment, their positioning, pricing, funding, key customers, and the 3 most underserved segments — produce a strategy deck - Produce a market sizing report for [industry] with bottom-up and top-down estimates, triangulating industry reports, public disclosures, and analyst data — with methodology and source citations - Build a commercial due diligence report on [company]: market position, competitive moat, management team assessment, customer concentration risk, and key person dependencies — citing 20+ public sources - Produce a competitive intelligence brief across 10 competitors in [market]: pricing changes, product launches, executive hires, funding rounds, and regulatory actions from the past 90 days ### Legal Case law research, regulatory tracking, patent landscapes, and litigation prep — with citations. - Research [judge]'s last 50 rulings in [case type]: judicial philosophy, procedural preferences, sentencing patterns, plus opposing counsel's win rate and strategic tendencies — produce a litigation prep memo - Track all regulatory changes affecting [sector] in the past 12 months across federal and state agencies — produce a compliance impact report with deadlines, required disclosures, and action items - Map the patent landscape for [technology]: key patent holders, recent grants and applications, ongoing disputes, licensing structures, and freedom-to-operate analysis — produce a landscape report with claim charts - Research case law on [topic] across federal circuits and key state jurisdictions — produce an analysis brief with precedent chain, current circuit splits, and practical litigation guidance ### Medical Literature reviews, guideline comparisons, trial pipelines, and FDA safety monitoring — with citations. - Conduct a systematic literature review on [treatment] for [condition]: search PubMed, Cochrane, and recent RCTs — grade evidence quality using GRADE and produce a structured summary with 30+ citations - Compare current guidelines from AHA, ESC, NCCN, and WHO for [condition]: drug classes, dosing, sequencing, and monitoring — produce a side-by-side decision matrix with level-of-evidence ratings - Map the entire clinical trial pipeline for [disease area]: all active Phase II/III trials from ClinicalTrials.gov with mechanisms of action, sponsors, primary endpoints, enrollment status, and expected readout dates - Research all FDA drug safety communications, REMS modifications, and label changes in [therapeutic area] from the past 12 months — produce a pharmacovigilance report organized by drug class with clinical implications ### Founders Competitive landscapes, investor research, market intelligence, and buyer analysis — from public signals. - Map the competitive landscape for [market]: top 15 players with positioning, pricing, features, funding history, estimated revenue, employee count, and whitespace opportunities — produce a competitive matrix - Research the funding landscape for [sector]: who's investing at what stages and valuations, which companies raised recently, each major VC's thesis — produce a ranked investor target list for a [stage] startup - Deep-dive [competitor] from public signals: product launches from changelogs, hiring patterns from 50+ job postings, customer sentiment from G2/Reddit reviews, and pricing changes — produce a competitive intelligence dossier - Research the buyer landscape for [product category]: who buys (titles, company size), what they use today, pain points from G2/Reddit/forums, willingness to pay, and switching triggers — produce a buyer persona report ### GTM & Sales Account research, buyer intent signals, outreach personalization, and deal intelligence — from public footprints. - Research [target account]: org structure, recent initiatives, tech stack (from job postings), strategic priorities (from earnings/press), and key decision-makers — produce a pre-call account brief with 5 personalized talking points - Find buying intent signals for [product category] across 20 target accounts: recent job postings mentioning relevant tools, leadership changes, funding events, tech stack changes, and pain points from reviews — produce a prioritized outbound list - Research [prospect name + company]: their LinkedIn background, recent posts and talks, company priorities, competitive tools they use, and mutual connections — produce a hyper-personalized outreach sequence with 3 email drafts - Analyze how the top 10 companies in [sector] position and sell [product type]: pricing pages, case studies, sales collateral, G2 comparisons, and objection patterns from reviews — produce a competitive battle card ### Insurance Regulatory intelligence, market benchmarking, catastrophe analysis, and emerging risk research — from public filings. - Research the regulatory landscape for [line of business] insurance across the top 10 US states by premium volume: rate filing decisions, new coverage mandates, pending legislation, and enforcement actions — produce a state-by-state matrix - Analyze the latest statutory filings for the top 10 [line of business] insurers: combined ratios, loss reserve development, premium growth, expense ratios, and market share shifts — produce a competitive benchmarking report - Research catastrophe losses in [region/peril] over the past 24 months: insured loss estimates by modeler, affected carriers, reinsurance market capacity shifts, and pricing implications — produce a cat loss trends report - Research emerging risks in [area, e.g. PFAS / cyber ransomware / climate litigation]: current claims landscape, regulatory developments, coverage disputes, and how top 10 carriers are responding — produce a market intelligence briefing ### Finance Peer comparisons, earnings analysis, M&A comps, and target screening — from public filings and transcripts. - Pull the last 8 quarters of financials for [company] and its top 5 peers from SEC filings — build a peer comp with revenue growth, margin trends, leverage ratios, and valuation multiples, flagging outliers - Analyze this quarter's earnings across 10 companies in [sector]: management commentary themes, guidance revisions, margin drivers, and capex outlook — produce a sector earnings digest - Research all M&A transactions in [sector] over the past 3 years: deal values, multiples paid (EV/Revenue, EV/EBITDA), strategic rationale, and buyer profiles — produce a precedent transaction comp table - Screen 50+ potential M&A targets in [sector] against criteria (revenue, growth, margins, geography) — produce a ranked shortlist with valuation estimates, strategic fit scores, and recent developments.