Integrations & UI
Quoted separately
Output connectors, custom review UI, scheduled runs, and team workshop outside the AI-core scope.
Multi-Source Research Agents with Cited Briefs
Sources in. Cited brief out. The same lookup every week: web, registries, tenders, CRM, internal docs. We build the agent around which sources you use, how you cross-check findings, and what the brief looks like. Typical timeline: ≈2 weeks.
When to build custom
Worth building when the same lookup runs every week and your source list, scoring rules, and brief template do not fit a shared monitoring tool.
- Market analysis: segments, competitors, pricing signals, and regulatory changes in your brief format.
- Tender monitoring across procurement platforms with fit scoring against your must-haves.
- Prospect or supplier qualification: gather data, cross-check sources, and pass or flag against your rules.
- Competitive or regulatory watch: cited briefs plus a log of sources and flags.
What you get
We connect your sources on a schedule. The agent cross-checks findings and writes a brief with source links. Rows below your confidence threshold go to review.
- Search methodology. Which sources to query per question: web, registries, tender feeds, internal docs, or paid databases you already use. Fixed in the spec before build starts.
- Validation criteria. Rules for cross-checking findings across sources. Contradictions and low-confidence claims are flagged before they reach your brief.
- Qualification rules. Fit, no-fit, and relevance scoring against criteria you define: must-haves for tenders, ICP for prospects, risk flags for suppliers.
- Cited briefs. Structured output with inline references. Every claim traces to a URL, document, or registry entry.
- Audit log. Record of sources consulted, validation outcomes, qualification decisions, and final output for quality or compliance review.
How we deliver
Scope & estimate
Intro call: we map research questions, output format, and success criteria. You get a fixed-scope estimate before the scope audit and any paid build.
Research scope audit
We map data sources, cross-check rules, and scoring for your questions. A short audit confirms the agent can hit your brief format before contract.
Contract & payment
We agree scope, milestones, and IP terms in the contract. Work on the agent starts after the first milestone is paid.
Deliver AI core
We build the research agent on agreed scope: source connectors, validation and qualification logic, synthesis, citations, and escalation on flags.
Integrate if needed
Optional phase: connect output to your systems, custom review UI, scheduled runs, and a team workshop on how to use the agent. Quoted separately when not in the initial AI-core scope.
Pricing
Fixed scope and price for the AI module, agreed before the build starts.
AI module
$6,900+
Custom research agent: sources, validation, qualification, cited briefs.
About 2 weeks for a focused question set; more sources, longer delivery.
Final module price depends on source count and cross-check complexity. Deliverables are fixed during the scope audit before contract.
FAQ
What is a custom research AI agent?
R[AI]SING SUN builds research agents for recurring questions: market analysis, tender monitoring, competitor intel, prospect qualification, or supplier screening. Each run uses your sources and scoring rules and returns a brief with source links. Built for weekly runs on the same question set.
How much does a research AI module cost?
The AI module starts from €6,000, $6,900 USD, or £5,100 GBP for fixed scope agreed before the build. Final price depends on source count, cross-check complexity, and scoring rules. Output connectors, custom UI, scheduled runs, and team workshops are quoted separately. An intro call gives a range; the scope audit fixes deliverables before contract.
How long does a research agent take to deliver?
Typical delivery is about 2 weeks after contract and first milestone payment for a focused question set and agreed source list. Broader source coverage or stricter cross-checks take longer. The scope audit usually runs for a few days before the paid build is contracted.
What is included in the AI module vs integrations?
The module price covers source connectors scoped in the agreement, validation and qualification logic, synthesis, citations, escalation on flags, and audit logging. It does not include net-new paid data subscriptions, output connectors to your systems, custom review UI, or scheduled production runs unless scoped separately. See Integrations & UI on this page.
Why build custom instead of using an off-the-shelf research tool?
Off-the-shelf tools ship one alert format and one scoring model. A custom agent uses your source list, cross-check steps, brief template, and pass/fail rules. Single-source lookup does not need an agent layer.
How does human review work?
Findings below confidence threshold or matching critical qualification rules queue for review with source links and reasoning context. Reviewers accept, edit, or reject flagged items. Logs retain queries, sources, validation outcomes, and final outputs.
Who owns the code after delivery?
Rights are defined in the contract before work starts: full buyout or a license for your deployment, with different pricing for each. Module pricing reflects scope fit and reuse of proven pipeline components from prior deliveries, not a greenfield six-figure build from scratch.
What sources can research agents use?
Scope-dependent: public web, tender and procurement feeds, company registries, news, internal documents, and exports from systems you already use. We align connectors during the scope audit. Sources requiring separate commercial licenses remain your responsibility.
Get in touch
Describe the research task you repeat weekly in a couple of sentences. We'll reply with fit, scope, and next steps.
Or email [email protected]