SuperX
Agentic AI,
built vertical.

Every match returns a quantified fit score broken down by skills, compensation, culture signal, and career velocity. Candidates know exactly why they fit. Employers know exactly why they should act.

For every role, the agent rewrites the candidate's resume against that JD's keywords and structure — ATS-compatible, recruiter-ready. Skill gaps are spotlit before submission, not after rejection.

Surfaces existing connections inside the hiring company who can provide referrals or insider context. Turns cold applications into warm introductions — the single highest-yield lever in any job search.

The agent applies autonomously — tailored resume attached, forms pre-filled. Fake listings, duplicates, and stale postings are filtered out in real time before they waste anyone's time.

Every application tracked end-to-end. Live salary benchmarks, competing offer detection, and talent scarcity alerts — continuously updated from every placement in Domain Memory.

Every market move is immediately translated into goal currency — not portfolio percentage. "Retirement at 55: 74% funded. Here are three specific moves that push that to 90%." The agent runs continuous forward simulations against your actual stated goals, updating with every price tick and life event. Your advisor measures performance. SuperWealth measures probability.

Clients rarely call their advisor when life changes. The agent infers it first — unusual cash withdrawals, income pattern shifts, login behaviour changes — and surfaces a proactive restructure proposal before you think to ask. Job change, inheritance, business exit, divorce: the portfolio should shift before the next quarterly call, not after.

The agent watches for pre-panic signals during drawdowns: repeated portfolio views at unusual hours, tone shifts in messages, deviation from normal engagement patterns. It identifies the window before the sell order — and intervenes with personalised, evidence-based communication calibrated to your specific risk tolerance and stated goals. One human advisor can do this for five clients. SuperWealth does it for five thousand, simultaneously.

Wealth flows through families. With consent, the agent maps the complete family financial picture — parents' estate, children's trajectory, trust structures, gifting strategy, inheritance exposure across jurisdictions — and optimises across generations, not just your portfolio. No human advisor ever has this full view. The agent holds it continuously.

The agent doesn't ask which type of provider you want — it infers the right modality from your full clinical picture. Chronic back pain with stress markers → physio + TCM before ortho. Fatigue + weight gain + cold intolerance → endocrinology, not GP. Recurrent UTIs post-menopause → urogynae, not another antibiotic. It routes to the right door first — across conventional, specialist, and traditional medicine — not the most obvious one.

A patient seeing a cardiologist, a TCM practitioner, and a physiotherapist simultaneously. The cardiologist doesn't know about the herbs. The TCM practitioner doesn't know about the warfarin. Nobody has the full picture. The agent holds it across every provider — monitoring drug-herb interactions, coordinating treatment timing, flagging when modalities conflict, and surfacing the complete cross-modality context to each provider before every appointment. The handoff problem, solved.

No more filling the same form at every new provider. The agent holds the complete health autobiography — diagnoses, medications, allergies, lab trends, imaging history, vaccinations, family history — and presents the clinically relevant slice to each new provider in their preferred format. Every referral arrives fully contextualised. The patient never loses continuity at a handoff again.

The agent doesn't wait for symptoms. It continuously monitors against evidence-based screening guidelines — and flags the gaps before they become diagnoses. "You're 43, male, family history of colon cancer. Colonoscopy screening recommended at 40. You're 3 years overdue. Here's the nearest provider covered by your insurance, here's the cost, here's a slot this week." Prevention surfaced proactively, not reactively.

Matches on clinical fit, financial reality, and real-time availability simultaneously. Not just the best provider — the best provider you can see this week, at a price your insurance covers, with outcomes data that holds up. Wait times, bed availability, panel network status, and co-pay levels all factor into every recommendation before it surfaces.

Multi-factor evaluation across jurisdiction, seniority, matter complexity, and conflict checks.

Real-time fee benchmarks drawn from every engagement processed. Updated with every matter closed.

Enters with qualification frameworks from SuperHealth and SuperJobs — 40–60% domain pre-populated before the first client onboards.

The agent doesn't ask what you want to search for. It asks what you're trying to do — then builds the complete purchasing plan. "Moving into a new apartment" → full needs list across categories, staged by dependency (buy the bed before the pillows, the router before the smart bulbs), matched to your floor plan and budget. Not 10,000 search results. One sequenced plan across your income cadence.

The most underserved moment in e-commerce is the 20 minutes between finding a product and deciding. Both platforms abandon you there. SuperMall's agent works through the decision in real time — checking compatibility, flagging mismatches before purchase, and surfacing the honest better choice. "This monitor arm clamps to 5cm max. Your desk is 6cm. It won't fit. Here's the one that does — RM 12 more." Incompatibility caught before checkout, not after delivery.

Consumables run out on a schedule. The agent knows when you bought your coffee, shampoo, baby formula, vitamins — and models your actual consumption rate. It reorders before the shelf is empty, adjusted for how fast you actually use each item. Not a rigid subscription. A live consumption model. This is structurally impossible for a passive search platform.

Shopee sellers are always chasing demand they can already see. SuperMall surfaces aggregated intent signals before they become search spikes: "380 buyers in Klang Valley showed purchase intent for ergonomic standing desks in the last 14 days. Current supply: 14 listings averaging 3.6★. High demand, undersupplied, low quality. First seller to list at RM 350–450 with 4★+ captures this." Sellers win the category before competitors notice it exists.

Once you buy on Shopee, you're on your own. SuperMall's agent continues after checkout — monitoring price drops on items you own, warranty expiry windows, recall alerts, and "better version available" signals. And it tells the honest story: "The blender you bought 5 months ago has 847 reviews averaging 3.2★. Most common complaint: motor failure at 18 months. Here's the upgrade — RM 30 more, 2-year warranty." No platform has ever been this honest. No platform has ever had the incentive to be.

The agent doesn't ask how you feel — it infers it. P&L trajectory, trade frequency vs your personal baseline, watchlist obsession score, time-of-day performance patterns, consecutive loss count. Output: a live 0–100 Emotional Clarity Score. ECS below 50: position size is automatically halved. Below 30: mandatory 20-minute cooling window. The agent enforces, quietly, the rules you agreed to when you were calm.

Before every entry: state your catalyst, your invalidation level, your target. Locked and timestamped. When you're 4% down and hovering over "move stop loss", the agent surfaces your own words back: "You said invalidation is RM 3.20. Price is RM 3.18. Are you moving your stop because the thesis changed — or because you don't want to take the loss?" That one question, at the right moment, is worth more than ten indicators.

Not the fixed "Risk RM 200 / Reward RM 600" that every platform shows. The agent overlays your personal expected value at this specific setup — your historical win rate at this exact pattern in this exact market regime, adjusted for time of day, sector conditions, and correlation to macro events. "EV: +RM 148 based on your 52% win rate at this setup. Warning: win rate drops to 31% when BTC dominance exceeds 58%. Current BTC dominance: 61%."

Account equity, Emotional Clarity Score, portfolio correlation (long TSLA + NVDA + AAPL + MSFT is not four positions — it's one correlated tech bet), instrument ATR today, and streak context (three consecutive losses → Kelly suggests 40% size reduction, enforced). The agent gives you one number: the correct size for this trade, right now, given everything it knows about you and the market.

99% of traders don't keep a journal — it's tedious. The agent writes it automatically: entry thesis, market regime, ECS at entry, whether you followed your stop, outcome, and post-trade tagging. Then surfaces the patterns you're blind to: "You've moved your stop loss 16 times this month. 14 of those trades lost more than the original stop would have. You are costing yourself 2.3R per month with this single habit."

Every strategy works in some regimes and fails in others. The agent classifies current conditions — trending, ranging, high-vol, risk-on/off — and cross-references against your personal performance database. "You're running a momentum breakout setup. Current regime: choppy. Your breakout win rate here: 29%. Your mean-reversion setups: 63% in this regime. Switch strategy, or sit out." Most traders blow up not because their strategy is bad — but because they run it in the wrong conditions.

A 50% drawdown requires 100% to recover. Most traders know this. None of them feel it. Every time the account takes a meaningful drawdown, the agent makes it visceral with your specific numbers: "You're down 18.4% this month. To break even you need 22.5% from here — at your average monthly return of 4.1%, that's 5.5 months of perfect trading just to get back to zero." The hole becomes visible before it gets deeper.

Set in advance, enforced automatically, cannot be overridden in the moment. Daily loss limit (−2%): session locked. Weekly limit (−5%): next week at 50% size. Monthly drawdown (−15%): full halt and mandatory strategy review before unlock. The critical difference from every platform's "risk settings": these were set when you were calm. You don't get to turn them off when you're not.

Given your win rate, average R:R, position sizing, and current drawdown: the agent calculates your statistical ruin probability forward. "At current parameters: 12.3% ruin probability over 60 sessions. If you increase to 3% per trade as you've been attempting: 34.7%." And after any meaningful drawdown, the honest recovery math: "Recovering RM 4,200 at current parameters takes 31–47 sessions. Revenge trading at 2× size projects 18 sessions — but raises ruin probability from 8% to 29%." The agent forces the comparison between impatient recovery and survival.

Reads each applicant's risk profile in full and matches to the optimal policy across all participating insurers — not just the ones paying referral fees.

Alternative data signals inform risk assessment for underserved segments — gig workers, micro-SMEs, first-time policy holders.

The agent monitors policy portfolios for claim patterns, renewal signals, and coverage gaps — and alerts before they become problems.

The agent builds a live model of each learner's knowledge state, pace, and learning style. Every lesson adjusts in real time — not on a fixed curriculum.

Pathways are built backwards from a target skill or credential. The agent tracks distance to goal and re-routes when progress stalls.

For corporate clients — tracks skill gaps across teams, recommends cohort-level interventions, and benchmarks learning velocity against role requirements.

Save a post from X, a paragraph from an article, a voice note, a screenshot. SuperFlash ingests, understands, and indexes it — not just stores it.

The agent resurfaces a saved idea when it's relevant to what you're doing right now — writing a proposal, in a meeting, researching a decision. Not when you remember to search for it.

SuperFlash links captures across time — spotting when three things you saved six months apart are actually the same idea from different angles. Your library gets smarter as it grows.

Every capture builds a personal knowledge graph. SuperFlash learns your interests, your projects, and your thinking patterns — and becomes a more useful thinking partner over time.

The agent monitors your car's market value continuously — cross-referencing model refresh cycles, seasonal demand patterns, mileage bands, and competing supply — and tells you exactly when to sell before the depreciation cliff hits. Not a static valuation. A live signal with a specific recommendation: "Your Proton X50 will lose RM 8,400 over the next 90 days. Your optimal sell window is the next 3 weeks."

Carsome waits for you to list. SuperWheels finds your buyer before you do. The agent continuously matches your vehicle against registered buyers' exact spec requirements — year, variant, colour, mileage range, budget. When a high-intent buyer enters the system, the agent surfaces your car first. You receive an offer before the listing is ever created.

Photo and video-based pre-inspection scores the vehicle's condition before any physical visit — flagging accident history markers, paint inconsistencies, and panel gap anomalies from imagery alone. Mileage tampering is cross-referenced against service history, tyre wear patterns, and component age. Every 175-point equivalent check is AI-assisted, not just human-recorded.

The agent tracks the complete lifecycle — service intervals, road tax and insurance renewals, recall alerts, warranty expiry, and maintenance history — and proactively surfaces every action before it lapses. When you're ready to sell, the full ownership record is already compiled, verified, and presented to buyers as a trust signal.

SuperCash structures the buyer's financing in real time — loan eligibility, optimal tenure, and rate comparison across lenders — before the test drive ends. SuperIn pre-quotes insurance cover for the new owner. The agent handles both simultaneously. The seller gets paid. The buyer drives away. No separate applications, no follow-up calls.