RESEARCH BRIEF — Batch [X] (The Pixel Hues enrichment)

CONTEXT

The Pixel Hues is a 5-person creative-technology studio in Connaught Place, New Delhi. Services: projection mapping, interactive installations, museum installations, hologram/AI, video production, software (incl. proprietary "Pixel Mapper").

Strategy lanes (June 2026):
- Lane A — Event agencies (PRIMARY volume lane).
- Lane B — Government museums (BUILD — requires ISO 9001 + 27001 first).
- Lane C — Government content / summits (PARTNER — sub-contract via event agencies).

True competitors: Tagbin (tagbin.in, government/museum lane) and Tagglabs (tagglabs.in, events lane).

Primary buyer personas: event agency founders + creative directors, brand-side activation heads, AV integrators (channel partners), government cultural/secretariat contacts.

YOUR BATCH

You are responsible for enriching these [N] companies:

[COMPANY_LIST]

DATA FIELDS TO COLLECT (per company)

For each company, output a JSON file at /workspace/pixelhues/05_enrichment/batch_[X]/[company_slug].json with this exact structure:

{
  "company_name": "",
  "website": "",
  "headquarters": "",
  "office_locations": [],
  "industry": "",
  "number_of_employees": "Not Publicly Available" or "50-100" or "300+",
  "estimated_annual_revenue": "Not Publicly Available" or "INR 50 Cr" or "USD 10M",
  "parent_company": "Not Publicly Available" or null,
  "decision_makers": [
    {
      "full_name": "",
      "job_title": "",
      "department": "",
      "linkedin_url": "",
      "email": "Not Publicly Available" or "name@company.com",
      "phone_extension": "Not Publicly Available"
    }
  ],
  "general_contact": {
    "official_email": "Not Publicly Available" or "info@company.com",
    "sales_email": "Not Publicly Available",
    "business_development_email": "Not Publicly Available",
    "marketing_email": "Not Publicly Available",
    "partnerships_email": "Not Publicly Available",
    "procurement_email": "Not Publicly Available",
    "careers_email": "Not Publicly Available",
    "contact_form_url": "Not Publicly Available" or "https://...",
    "company_phone": "Not Publicly Available" or "+91 ..."
  },
  "business_intelligence": {
    "current_projects": [],
    "recently_completed_projects": [],
    "expansion_plans": [],
    "new_offices": [],
    "funding_announcements": [],
    "active_tenders_or_rfps": [],
    "upcoming_events": [],
    "press_releases": [],
    "recent_news": [],
    "technology_stack": [],
    "existing_partners": []
  },
  "opportunity_assessment": {
    "why_pixel_hues_fit": "",
    "relevant_services": [],
    "estimated_project_size": "",
    "estimated_buying_timeline": "",
    "lead_score": 0,
    "priority": "Hot" or "Warm" or "Cold",
    "best_outreach_strategy": "",
    "recommended_first_point_of_contact": ""
  },
  "sources": [
    "https://...",
    "https://..."
  ],
  "data_quality_notes": "Brief note on what was found vs. what is NPA."
}

STRICT RULES

1. Publicly available information ONLY. Use web_search and web_fetch. Never fabricate, infer, or guess.
2. Email addresses: ONLY include if they are publicly posted on the company website or LinkedIn. Otherwise mark "Not Publicly Available".
3. Personal emails/phone numbers: NEVER include — only generic company emails (info@, sales@, partnerships@) and the main company phone number.
4. Decision makers: Include only those publicly listed as founders, executives, BD heads, or marketing/brand leads. Verify on LinkedIn. If uncertain, leave empty.
5. Revenue / employee count: Only state if from a credible public source (LinkedIn company page, Crunchbase, Tracxn, ZoomInfo, ET, YourStory, Inc42, official annual report). Otherwise mark "Not Publicly Available".
6. Source URLs: REQUIRED for every key data point. Add at least 3-5 source URLs per company.
7. If you cannot verify something: Mark it "Not Publicly Available" — do NOT guess.
8. Multiple searches per company: Use 3-5 different search queries per company to cross-verify important claims.

SEARCH STRATEGY (per company)

For each company, run searches like:
- "[Company Name]" India founder CEO team
- "[Company Name]" LinkedIn
- "[Company Name]" news 2025 OR 2026
- "[Company Name]" clients projects case studies
- site:[company domain] about contact team

Plus fetch:
- The company website homepage
- The company About page
- The company LinkedIn company page (if accessible)
- Any Crunchbase/Tracxn/ZoomInfo page if exists

OUTPUT REQUIREMENTS

1. One JSON file per company in /workspace/pixelhues/05_enrichment/batch_[X]/[company_slug].json.
2. One aggregated CSV at /workspace/pixelhues/05_enrichment/batch_[X]/batch_[X]_summary.csv with the key fields flattened (one row per company).
3. Final summary in your response: number of companies researched, key findings, any patterns.

TIME BUDGET

Aim for ~3-5 minutes per company. Don't over-research — focus on the highest-value fields (decision makers, contacts, current projects, lead score).

WHEN DONE

Output a brief summary message + confirm all files written. Do NOT include the full enrichment content in your final response — point me to the files instead.