Know what your competitors are doing before they announce it.

AI competitive intelligence that monitors competitors, tracks market signals, and surfaces insights before they go public. Know what's shifting in your market before your competitors announce it.

The Problem

Competitive intelligence is broken at most companies

You find out last: A competitor drops a new pricing tier or launches a feature you had on the roadmap for six months. You hear about it from a sales rep who heard it from a prospect. By the time you can act, the moment has passed. Manual monitoring is too slow and too inconsistent to catch what matters when it matters.

Research that's already outdated on delivery: Traditional market research is a snapshot. A firm spends eight weeks on interviews, synthesis, and packaging. You get the deck ten weeks after the brief was written. The market has moved. You own an expensive document that describes a world that no longer exists.

Signal volume with no signal filtering: There is no shortage of information about your competitors. There is a shortage of relevant insight. News alerts, LinkedIn posts, job boards, G2 reviews, patent filings, conference talks — they all contain signals. Without a system to collect, filter, and interpret them, the volume is just noise that no analyst has time to process.

Strategy built on assumptions: When live intelligence is absent, strategy drifts toward tribal knowledge and anecdote. Teams make positioning decisions based on what competitors were doing two quarters ago. Roadmap prioritisation reflects what you have heard, not what you have verified. The cost compounds quietly: misallocated R&D, missed positioning windows, slow competitive responses.

Our Approach

A continuous intelligence system, built to run, not gather dust We design and deploy monitoring infrastructure that tracks the signals that matter for your market, and delivers structured insights on a cadence your team can act on.

Phase 1 — Intelligence scoping & source mapping (Week 1): We work with your strategy, product, and commercial teams to define the intelligence questions that matter. Which competitors, segments, product categories, and which signals predict moves you care about. We map every available source: job postings, pricing pages, patent databases, review platforms, regulatory filings, press, GitHub activity. Output: an intelligence taxonomy of what we're watching and why. Deliverable: Intelligence scoping document with competitor universe, signal taxonomy, and source map

Phase 2 — System design & data pipeline build (Weeks 2-4): We set up the monitoring infrastructure: automated scrapers and API integrations for your priority sources, an AI processing layer that classifies and scores incoming signals against your intelligence categories, a structured database that stores enriched intelligence with full provenance, and alerting logic that routes high-priority signals to the right people immediately while queuing lower-priority items for regular briefings. Every system is designed for your market. Deliverable: Deployed intelligence pipeline with monitoring dashboard, alerting configuration, and data dictionary

Phase 3 — Intelligence delivery & analyst layer (Ongoing): Raw signal collection is not intelligence. We add an analytical layer — either a human analyst on retainer or an AI synthesis model tuned for your market — that turns incoming data into structured briefings. Weekly competitive digests. Immediate alerts for trigger events (competitor pricing change, major hire, product launch). Quarterly deep-dive analysis on market trajectory. Every output is formatted for the decision-maker who needs it. Deliverable: Weekly intelligence briefings, trigger-based alerts, and quarterly market analysis reports

Deliverables

Who This Is For

Right for you if: You operate in a fast-moving market (SaaS, fintech, D2C, healthcare tech) where a competitor's pricing change in Week 1 can show up in your churn numbers by Week 6.. Your strategy, product, or commercial teams are making decisions on intelligence that's months old, and you've lost at least one opportunity because you found out too late.. You have the capacity to act on competitive insights but not the infrastructure to collect and synthesize them at the speed your market requires..

Not right if: You're in a slow-moving market where competitive positions are stable across years. Continuous monitoring won't justify the cost.. You need a one-time market research report. We can scope that separately.. You don't have a decision-maker who will act on findings. A system that produces insights nobody reads is just a cost..

Use Cases

B2B SaaS, HR Tech: A Series B HR tech company was losing deals to two competitors without a discernible pattern. Win/loss data was anecdotal. Sales blamed price; product blamed features. The CEO suspected both were wrong. — Built an intelligence system monitoring both competitors across product changelog pages, G2 and Capterra reviews, job postings, LinkedIn content, and pricing page variants. Within six weeks, the system found a consistent pattern: one competitor had quietly repositioned toward mid-market enterprise with a new implementation services wrapper, changing the buying committee dynamics in the exact deals the client was losing.. Outcome: The commercial team adjusted its enterprise pitch to address implementation risk before it became an objection. Win rate in the affected segment improved 18 percentage points over the following quarter.

Consumer Fintech: A digital lending platform needed to monitor four competitors in real time for pricing changes and product launches but had no systematic way to do it. A competitor had launched a new credit product two months earlier, and the team only found out when a journalist called for comment. — Deployed monitoring across competitor rate pages, app store listings, play store reviews, regulatory filing databases, and press feeds. Set up trigger alerts for any change in rate structure, product terms, or marketing messaging within defined thresholds. Alert latency went from weeks to under four hours.. Outcome: The product team responded to a competitor rate cut within 48 hours instead of two weeks. That window had historically cost them significant application volume in the week following a competitive rate change.

D2C E-commerce: A premium D2C brand couldn't tell whether its price premium was sustainable as new entrants crowded the category. Market research was expensive and infrequent. The team had no systematic way to track how competitors were pricing, promoting, or positioning across channels. — Built a monitoring pipeline covering competitor product pages, promotion calendars, paid ad libraries, influencer partnership activity, and customer review sentiment. Generated a weekly pricing and positioning digest that tracked changes over time with trend analysis.. Outcome: Found that two competitors were discounting heavily in a pattern that preceded a funding-driven growth push, giving the client eight weeks of lead time to adjust its promotional calendar and protect margin.

Results

What intelligence changes in practice

B2B SaaS, HR technology platform: 18-point win rate improvement in target segment within one quarter. An HR tech company losing deals without a solid diagnosis hired us to build competitive intelligence infrastructure across its two primary competitors. Within six weeks, the system detected a strategic repositioning by the lead competitor: a shift toward enterprise that was invisible from casual observation but measurable across hiring patterns, pricing page variants, and review platform language. The commercial team adjusted its pitch before the competitor's repositioning became an objection in deal conversations. Win rate in the affected segment went from 31% to 49% over the following quarter. The intelligence system now runs continuously, with weekly briefings feeding into monthly product and commercial planning cycles.

Frequently Asked Questions