Competitive Intelligence
Continuous monitoring of competitor pricing, positioning, hiring, product releases and public filings — delivered as a diff against last week rather than a wall of text you have to re-read.
Research & Analysis Agents
AI Research Agents Development
Autonomous research agents that gather from many sources, verify claims, and produce cited structured reports — competitive intelligence, due diligence, and market analysis you can defend.
- 50+
- Sources per run
- Every claim
- Linked to source
- 4–8 wks
- To production
- Scheduled
- Or on-demand
- NDA on Day 1
- Fixed-Price Guarantee
- 48hr Proposal
- Secure Data Residency
Get your custom project plan
Share your project details — a senior engineer responds within 4 hours.
NDA protected 24hr response Free consultation
Independently audited, certified and built to standards you can check
AI research agents are autonomous systems that plan searches, read primary sources, verify each claim, and deliver cited reports. Built for analysts, strategy teams, and investment professionals, they compress days of desk research into minutes while linking every assertion to its source — so findings survive scrutiny in boardrooms and diligence rooms.
What We Build
Desk research that runs while you sleep
Due Diligence Packs
Agents that assemble the standard diligence picture on a target — corporate structure, litigation, funding history, key people, public risk signals — with every finding sourced so your analysts verify rather than gather.
Market & Category Sizing
Structured market analysis pulling from analyst reports, filings, job postings and pricing pages, with the methodology stated explicitly so the number can be defended in a board meeting.
Regulatory Monitoring
Agents that watch the registers and rule-making feeds relevant to your business, flag what actually changed, and summarise the operational implication rather than restating the notice.
Voice-of-Customer Synthesis
Reviews, support transcripts, survey free-text and social mentions clustered into themes with representative quotes and volume trends — the qualitative work that never gets done because it is tedious.
Literature & Prior-Art Review
Agents that search technical literature and patent databases, screen for relevance against your criteria, and produce an annotated bibliography instead of a link dump.
Our Work
Products That Users Actually Love.
200+ products shipped across fintech, healthcare, e-commerce, and SaaS — built to scale, designed to convert.
Web Design
KPR Interiors
A marketing site for an interior design studio, rebuilt on Next.js to load fast on mobile and convert visitors into enquiries.
- 4x
- Lead Gen
- 1.8s
- Load Time
Next.jsTailwindGSAP
Healthcare
CareSync
A patient management platform handling scheduling, records and clinician-patient messaging for a healthcare provider.
- 130+
- Patients
- 4.9★
- Rating
ReactNode.jsPostgreSQL
E-Commerce
LYKFit
A fitness e-commerce storefront built on Next.js with Shopify as the commerce backend and Stripe handling payments.
- 3x
- Revenue
- 2.5M+
- Visitors
Next.jsShopifyStripe
Logistics
Pioneer Logistics
A delivery management platform with live vehicle tracking, route planning and customer-facing shipment status.
- 15K+
- Deliveries/Mo
- 98%
- On-Time
ReactNode.jsMapBox
Logistics
BYT Trucking
A freight management platform for an established trucking operator, covering load tracking and job records.
- 500+
- Projects
- 30+
- Years
Next.jsMapBoxMongoDB
SaaS
ReviewPro
A multi-tenant SaaS platform that aggregates business reviews across sources and surfaces them in one dashboard.
- 10K+
- Businesses
- 200%
- Growth
ReactGoogle APIRedis
How We Build
Engineering research you can actually trust
- 01
Question Decomposition
We turn your standing question into an explicit research plan — sub-questions, acceptable source types, and what "done" looks like. Vague briefs are what produce confident, useless reports.
- 02
Source Tiering
Sources are ranked by reliability, and the agent is required to prefer primary documents over commentary. Where only weak sources exist, the report says so rather than laundering a blog post into a fact.
- 03
Claim Verification
A separate verification pass re-reads each source and checks that it genuinely supports the claim attributed to it. Claims that fail verification are dropped or downgraded — this is the step that separates research agents from plausible fiction.
- 04
Structured Output
Results land in the shape you actually use — a scored table, a CRM record, a Slack digest, a slide-ready summary — not a wall of prose someone has to re-key.
- 05
Scheduled Re-runs
Once the agent is trusted it runs on a schedule and reports only what changed, which is what makes continuous monitoring affordable rather than a one-off report you never repeat.
Research Agents FAQ
Common questions about autonomous research agents — hallucination controls, internal sources, freshness, licensed content and analyst impact.
Ask our teamBy making the sources, not the model, the authority. The agent retrieves documents and quotes from them, and a separate verification pass re-reads each source to confirm it actually supports the claim. Anything that fails that check is removed. The output is designed so that every assertion carries a link — which means a hallucination is visible rather than hidden, because you can click through and find the source does not say that.
Yes, and this is usually where the value is. We connect the agent to your internal knowledge — CRM notes, past deal memos, data room documents, wikis — through a permissioned retrieval layer that respects your existing access controls. An analyst asking a question sees only what they are entitled to see, and the agent inherits those same limits rather than bypassing them.
As current as the sources allow. The agent fetches live at run time rather than relying on model training data, so publication lag is the only delay. For monitoring use cases we run on a schedule and report the delta, which means you learn about a change within your chosen window rather than whenever someone remembers to check.
We integrate the subscriptions you already pay for through their official APIs or authorised access, respecting the terms of each licence. We do not build scrapers that circumvent paywalls — beyond the legal exposure, those integrations break constantly and quietly, which is the worst failure mode for a research system you have come to rely on.
It replaces the gathering, not the judgement. Analysts typically spend the majority of a research task collecting and formatting, and a minority on interpretation — which is the part you actually pay them for. The agent inverts that ratio. Every client we have built these for has kept their analysts and increased the number of questions they can answer.
Whatever closes the loop: a Notion or Confluence page, a row in a scored spreadsheet, a CRM field update, a Slack or Teams digest, a PDF brief, or a webhook into your own system. The report is only useful if it arrives where the decision is made, so we treat output routing as part of the build rather than an afterthought.
What question do you re-answer every month?
Tell us the research task your team repeats. We will build the agent that runs it continuously — with citations you can check.