DataKrew Pvt

DataKrew Pvt

Battery analytics platform for EV fleets

Overview

Datakrew provides real-time battery analytics for electric vehicles by pairing an on-board diagnostics device called ITUS Max with OXRED analytics software to monitor 120+ vehicle parameters for fleet managers. It targets EV OEMs and fleet operators, offering OXRED MyFleet and planning for GuardianAI and InsurShield to support autonomous fleet management and insurance risk assessment. The system helps reduce battery degradation, prevent breakdowns, and improve asset resale value through predictive maintenance and battery health monitoring. Its differentiators include a patent-backed OBD-II device, data from 10,000+ battery assets across seven countries, and a strong B2B focus with clients like WHA Group, SCG Group, and Yinson Mobility, aiming to scale globally across Asia, Europe, and the Americas.

About DataKrew Pvt

Simplify's Rating
Why DataKrew Pvt is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Automotive & Transportation

Enterprise Software

AI & Machine Learning

Company Size

11-50

Company Stage

Seed

Total Funding

$2.6M

Headquarters

Singapore, Singapore

Founded

2019

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Simplify's Take

What believers are saying

  • March 2026's $2.6 million round funds expansion into Europe and the Americas.
  • Datakrew claims 20-plus paying customers across Thailand, Malaysia, Vietnam, Philippines, and India.
  • Insurance products like InsurShield create stickier revenue if fleets and insurers adopt them.

What critics are saying

  • Hyundai, GetGo, and Datakrew disclosed only a pilot, not a conversion contract.
  • TWAICE, ACCURE, Geotab, and OEM diagnostics compress margins in Europe and America.
  • Misforecasted battery failures trigger warranty disputes and insurance blowback by 2027.

What makes DataKrew Pvt unique

  • Patented ITUS Max and OXRED combine hardware telemetry with battery-soh forecasting.
  • Datakrew trains on real fleets: 3.6 billion data points from 70 Hyundai EVs.
  • Brand-agnostic support across 40-plus OEMs reduces integration friction for mixed-fleet operators.

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Funding

Total Funding

$2.6M

Below

Industry Average

Funded Over

1 Rounds

Seed funding is usually the first official round after pre-seed, when a startup has a prototype or concept. It’s typically used to develop the product, test the market, and start building the team. Investors here are often angel investors or early-stage venture capitalists.
Seed Funding Comparison
Below Average

Industry standards

$3.3M
$2M
Netflix
$2.3M
Instacart
$2.6M
DataKrew Pvt
$3M
Robinhood

Benefits

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

4%

1 year growth

4%

2 year growth

0%
e27
Aug 17th, 2026
70 Cars, 55,000 hours, one question: Can you forecast when an EV battery will die?

70 Cars, 55,000 hours, one question: Can you forecast when an EV battery will die? Singaporean deeptech firm Datakrew's pilot with Hyundai and GetGo offers early evidence and bigger ambitions beyond Southeast Asia 17 Aug, 2026 Singaporean deeptech startup Datakrew just wrapped a year-long study with Hyundai's venture arm and GetGo. The headline numbers are big - 3.6 billion data points, 70 vehicles, 101,000 trips, but the more interesting story is what Datakrew is trying to build after the pilot ends. Batteries do not fail like engines. There is no warning light, no sudden knock, no smoke. They simply degrade slowly, unevenly and differently, depending on how hard a car is driven, how it is charged and how hot the tropics get on any given Tuesday. For fleet operators, that ambiguity is expensive. Nobody wants to discover a battery is dying only after a customer is stranded on the ECP. That is the problem the battery-intelligence startup has spent the past year trying to chip away at, in partnership with Hyundai CRADLE Singapore, the automaker's corporate venture arm, and GetGo, Singapore's largest car-sharing platform. The three parties have just completed a year-long Proof of Concept (PoC) that used machine learning to forecast the State of Health (SOH) and Remaining Useful Life (RUL) of EV batteries, essentially how much life is left in a battery and how fast it is draining away. The numbers behind the pilot. Over 12 months, Datakrew - which is backed by Greenwillow Capital, Beenext, 500 Global, SEEDS (now SG Growth Capital), XA Network, AngelList - pulled 3.6 billion data points from 70 Hyundai EVs operating in GetGo's commercial fleet, vehicles that racked up 101,000 driving trips, 55,000 operating hours, and roughly 1.6 million kilometres on Singapore's roads. The instrumentation doing the heavy lifting was Datakrew's own hardware: a patented IoT device called ITUS Max, paired with its OXRED MyFleet analytics platform. Together, they logged more than 120 battery and telemetry parameters (pack voltage, individual cell voltages, current, temperature, location, and energy flow) every ten seconds, across every vehicle, for a full year. That is not a trivial data engineering exercise. It is also, notably, not the same as building a model on lab-cycled batteries under controlled conditions. This was Singapore traffic: stop-start driving, tropical heat, inconsistent charging habits, real commercial usage rather than a curated test fleet. "The study demonstrated that using real-world battery usage data, one can forecast battery health months in advance, helping fleets plan proactively instead of reacting to issues," said Dr Sumanta Bose, CEO of Datakrew. What "low error rate" actually means. A press release issued by Datakrew is deliberately vague on the specific performance figures from this particular study. It is unsurprising, given that the numbers sit inside a partnership agreement with Hyundai that Datakrew cannot unilaterally disclose. But speaking more broadly about the underlying platform, Bose was willing to put a number on it. "Our SOH and RUL forecasting operates within a three per cent prediction-error band at defined forecast horizons, including long-range forecasts extending up to two years," he said. In practice: if the model predicts a battery will sit at 88 per cent SOH on a given future date, the observed value typically lands within about three percentage points of that forecast. Bose is careful to frame this as prediction error rather than "accuracy". In his view, SOH and RUL are continuous numerical forecasts, not pass/fail classifications. The distinction matters if you are trying to evaluate the claim rigorously rather than take it at face value. He is also notably reluctant to benchmark Datakrew against established rivals such as TWAICE or ACCURE without a shared dataset and identical forecast horizon. "A three-month SOH forecast and a two-year battery-life projection are different technical tasks," he said, a fair point and one that also conveniently sidesteps a head-to-head comparison Datakrew has not run. Why this is not really about Hyundai. Perhaps the most commercially important detail in this story is what it is not. There is no equity stake, no investment, no board seat attached to the Hyundai CRADLE collaboration. Datakrew's disclosed investor base includes no automotive manufacturer. That is by design, not by accident. Datakrew's actual business model depends on being brand-agnostic. A fleet operator running Hyundai, BYD, Toyota, and MG vehicles side by side does not want four separate battery dashboards speaking four dialects; they want one layer that makes sense of all of them. Today, Datakrew claims support for 40-plus OEMs and more than 100 vehicle models, built on an internal reference library covering upwards of 130 Li-ion cell configurations across different chemistries - LFP, NMC, NCA. That architecture, Bose explains, is layered: a physics-informed degradation model calibrated to chemistry and usage patterns, a Bayesian layer that personalises predictions to each vehicle, and a machine-learning layer on top that catches whatever the first two miss. New OEM, new chemistry - recalibration, not a rebuild. The PoC is not the business. Datakrew frames pilots like this one as a means to an end rather than the end itself. According to Bose, the company already runs more than 20 paying commercial customers across Southeast Asia with Thailand (not Singapore, its largest market by deployed vehicles), alongside operations in Malaysia, Vietnam, the Philippines, and India. Expansion into the UK, Europe, and Mexico is underway, partly because colder, wetter operating conditions offer a genuinely different stress test for the models than tropical Southeast Asia does. The company is also eyeing insurance. Bose says Datakrew has been building insurance-oriented risk models since 2024 and has held exploratory conversations with two large multinational insurers - one Japanese, one European - about using battery-health data as an underwriting input, alongside the usual proxies of driver history and mileage. None of that appeared in the original press release. It is, arguably, the more revealing part of the story: a Singapore battery-intelligence startup using a Hyundai pilot as one data point in a much larger, multi-geography, multi-sector bet, rather than the culmination of one. The real test is still ahead. Going from 70 vehicles to a genuinely large fleet, the kind of scale that would prove out these claims commercially, is a different problem from running a well-instrumented year-long pilot. Bose is candid that this involves three separate challenges: continual model recalibration as vehicle diversity increases, cloud infrastructure that can handle thousands of endpoints streaming data every ten seconds, and the unglamorous logistics of physically installing hardware across depots without grounding vehicles for days at a time. Singapore has given Datakrew its proof of concept. What happens between here and 10,000 vehicles - across chemistries, climates, and continents - will determine whether that concept becomes a business. Editor, e27

Nestia
Mar 19th, 2026
SG deeptech startup Datakrew nets $2.6m pre-series A

, a Singapore-based deep-tech company that provides EV battery analytics, raised US$2.6 million in a pre-series A round led by to scale its OXRED MyFleet platform and expand across Asia, Europe, and

Creationsforu
Mar 19th, 2026
Datakrew's US$2.6M raise is a bet on the EV problem nobody wants to own: battery failures.

Datakrew's US$2.6M raise is a bet on the EV problem nobody wants to own: battery failures. Datakrew has raised US$2.6 million in a pre-series A round led by Greenwillow Capital Management, with participation from Beenext, 500 Global, SEEDS (now SG Growth Capital), XA Network, AngelList, and other investors. It is not a monster round, and that is precisely the point: the Singapore-based deeptech startup is going after a market where trust is earned slowly, pilots are painful, and a single bad call can turn "AI insights" into a liability. Founded in 2019, Datakrew sells what the EV industry increasingly needs but rarely standardises: battery intelligence for fleets and operators - tools that turn raw telemetry into signals about battery health, degradation, safety risk, and performance. Its core product, OXRED MyFleet, sits in the messy middle between vehicle hardware and business outcomes: fewer breakdowns, fewer roadside incidents, tighter maintenance scheduling, and better decisions on when to rotate, refurbish, or retire packs. The company claims it has "recorded and analysed more than 10,000 battery assets across seven countries" and holds "over 105 million kilometres" of proprietary EV telemetry. Datakrew also says its US-patented OBD-II device, ITUS Max, captures over 120 parameters, while OXRED MyFleet produces over 70 secondary metrics to estimate a battery's future state of health. The new money will fund products including OXRED GuardianAI and OXRED InsurShield, plus hires across sales and battery machine learning as it pushes into Europe and the Americas. What this funding means for Southeast Asia. Southeast Asia's EV story is often told through passenger cars and consumer adoption. Datakrew's pitch is more industrial: the region's near-term value is in commercial fleets - delivery vans, ride-hailing vehicles, buses, and two- and three-wheelers - where utilisation is high, and downtime is expensive. That creates a natural opening for predictive battery maintenance, even if the market is still early. The region is fragmented across vehicle types, standards, climates, and charging behaviours. Heat, humidity, stop-start driving, inconsistent charging infrastructure, and uneven maintenance practices all accelerate degradation or, at a minimum, make it harder to predict. In other words: Southeast Asia is a harsh classroom for battery models - and a lucrative one if you can make them work. How big is the market? Hard numbers for "predictive battery maintenance" in Southeast Asia are scarce because spending is split across software subscriptions, telematics contracts, OEM warranties, workshop services, and insurance. A practical way to size it is as a serviceable market tied to commercial EV fleets: even modest per-vehicle annual spending on monitoring and diagnostics becomes meaningful once fleets scale, because batteries are the dominant cost centre and failures ripple through operations. As fleets expand across Indonesia, Thailand, Vietnam, Malaysia, the Philippines, and Singapore, the addressable spend on battery analytics and risk tools plausibly moves into the hundreds of millions of US dollars annually over the next few years, with upside as electrification shifts from pilots to full fleet refresh cycles. What drives growth in Southeast Asia. * Fleet economics: Operators can tolerate many things; they cannot tolerate unpredictable downtime. * Financing and leasing: Lenders and lessors want better visibility into residual value and pack health. * Insurance pressure: Higher repair costs and battery-related incidents push insurers towards telemetry-backed pricing. * Regulatory direction: Safety expectations are rising, even if rules differ widely across countries. * Second-life and resale: Better health data makes batteries easier to re-trade, repurpose, or warrant. The catch: Southeast Asia is also where analytics vendors can die by a thousand integrations. Data access is inconsistent, OEMs guard diagnostic channels, and fleets run mixed vehicle brands. Any platform promising cross-fleet battery truth needs to survive the real world of missing signals, messy retrofits, and workshops that do not want more dashboards. The market is likely to move through three phases: * Visibility (now): Basic health scoring, alerts, and anomaly detection - useful, but often descriptive rather than predictive. * Decision support (next): Maintenance scheduling, charging policy optimisation, and pack rotation recommendations that are directly tied to cost and uptime. * Risk and finance plumbing (later): Battery passports, warranty arbitration support, and insurance-linked products where analytics becomes part of contracts, not just operations. Datakrew's roadmap hints at that direction, especially with products framed around guardrails and insurance rather than only fleet dashboards. If battery analytics becomes embedded into underwriting, leasing, and warranty workflows, vendors gain stickier revenue and clearer ROI. They also inherit sharper accountability: if the model misses a failure, someone pays. The US and Europe: bigger markets, tougher rules, stronger incumbents. Datakrew says it will expand into Europe and the Americas. The opportunity is straightforward: more EVs, bigger fleets, higher labour costs, and stricter compliance expectations - conditions that make predictive maintenance economically attractive. Europe is heading towards deeper battery traceability and standardisation, including initiatives often described as a "battery passport" direction of travel. That increases demand for structured data, consistent diagnostics, and auditable health metrics across a battery's life. The US is a fleet-first electrification story in many segments - delivery, municipal vehicles, logistics - where operational uptime and total cost of ownership dominate purchasing decisions. But the competitive reality is harsher. In mature markets, Datakrew competes not only with startups but also with: * OEM platforms that already sit on privileged data. * Tier-1 suppliers and diagnostics giants that can bundle analytics with hardware. * Fleet telematics incumbents expanding into EV-specific insights. In the US and Europe, the prize is large - arguably multi-billion-dollar over time when you include adjacent spend across telematics, diagnostics, warranty analytics, and insurance - but the bar is higher: security reviews, procurement bureaucracy, and legal exposure around safety claims. Who else is fighting for this territory. Globally, the competitive set spans EV battery analytics specialists, broader telematics players, and OEM-adjacent platforms. Notable names include: * Battery analytics specialists (global): TWAICE, ACCURE Battery Intelligence, Volytica Diagnostics, Qnovo, Eatron * Fleet telematics expanding into EV insights (global): Geotab, Samsara * OEMs and cell makers (global, indirectly competing): OEM-native diagnostics stacks and battery makers offering embedded monitoring and lifecycle services In Southeast Asia, the picture is thinner: many fleets still rely on OEM dashboards and general-purpose telematics, while local integrators stitch together monitoring on a per-fleet basis. That gap is the opening Datakrew is trying to exploit - but it is also why credibility matters more than branding. Battery health is not a "move fast" domain. It is a "be right, then scale" domain. US$2.6 million will not buy domination. What it can buy is time: to prove models under Southeast Asia's messy operating conditions, to land reference fleets, and to walk into Europe and the US with evidence rather than ambition. In battery intelligence, the difference is everything. Since you're already featured on e27, having a company profile makes it easier for people to discover what you're building. It's a simple space to showcase your startup, highlight key milestones, and stay visible across future e27 articles and features. Your email address will not be published. Required fields are marked *

Tech in Asia
Mar 18th, 2026
SG deeptech startup Datakrew nets $2.6m pre-series A.

SG deeptech startup Datakrew nets $2.6m pre-series A. Datakrew, a Singapore-based deep-tech company that provides EV battery analytics, raised US$2.6 million in a pre-series A round led by Greenwillow Capital Management to scale its OXRED MyFleet platform and expand across Asia, Europe, and the Americas. The funding round included Beenext, 500 Global, SEEDS (now SG Growth Capital), XA Network, AngelList, and other investors. The company said it has recorded and analyzed more than 10,000 battery assets across seven countries and holds over 105 million kilometres of proprietary EV telemetry. Datakrew said its US-patented OBD-II device ITUS Max captures over 120 parameters and that OXRED MyFleet outputs over 70 secondary metrics used to estimate future battery state of health. The proceeds will fund products including OXRED GuardianAI and OXRED InsurShield, plus hires for sales and battery ML expertise as it expands in European and American markets. Food for thought. Implications, context, and why it matters. The technology tackles expensive fleet headaches. * Datakrew's OXRED MyFleet platform aims to reduce EV fleet disruptions such as sudden downtime and shrinking range that can cut into rides 1. * It pairs a US-patented on-board diagnostics (OBD-II) device called ITUS Max with OXRED analytics software, turning vehicle signals into practical guidance for fleet managers 2. * The company says the system can pay back by extending vehicle lifespan by 20%, improving battery safety by 50%, and lifting asset resale value by 10% using AI-based alerts, warnings, and recommendations 3. * It also supports mixed fleets across many original equipment manufacturers (OEMs), including Tesla, BYD, and Mercedes Benz 4. The EV business is moving toward lifecycle management. * Datakrew says OEMs are shifting from selling vehicles to running the vehicle lifecycle, driven by connectivity and data-based services 2. * It pitches a ready-to-use connectivity and analytics stack so OEMs can join a connected-vehicle ecosystem without building everything in-house, including predictive maintenance 2. * EV telemetry can also support revenue ideas beyond daily fleet work. * Datakrew says timely AI optimization can raise resale value, and it sells OXRED AutoCert, which uses vehicle and battery data in resale-related workflows 3. How would you feel if you could no longer use Tech in Asia? Share, tag us, and land on our Wall of!

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