ADAMS (SIGMIND) Pitch Deck (2013): 23-Slide Breakdown

The ADAMS pitch deck introduces an Advanced Driver Assistance and Monitoring System (ADAMS) with Intelligent Brake Assist (iBA), developed by SIGMIND. The company aims to advance AI in practical engineering applications, specifically for vehicle safety. The deck outlines a global ADAS market projected to reach $60.14 billion by 2020, with a CAGR of 22.8%. It details a two-stage business plan: a 12-month development stage focused on hardware outsourcing and software development, followed by a production stage with a target sales price of 35K+15K BDT per kit and a projected break-even in 6 mont…

Key takeaways

• Slide 1 introduces the company's product, 'Advanced Driver Assistance and Monitoring System with Intelligent Brake Assist (iBA),' commercially named 'ADAMS™,' and includes logos for 3rd Eye Systems, SIGMIND, and Digital Bangladesh.
• Slide 2 presents the mission to advance AI through practical engineering and develop Artificial General Intelligence, alongside photos of founding members and the broader team.
• Slide 3 describes ADAMS as an 'additional third eye' for drivers, monitoring frontal distance and predicting crash situations using intelligent software algorithms, illustrated with in-car footage.
• Slide 4, titled 'Market Size/ Possibilities,' showcases a complex infographic on the 'Global Advanced Driver Assistance Systems (ADAS) Market Segmentation and Forecast, 2013 - 2020,' projecting a market size of $60.14 Billion by 2020 with a 22.8% CAGR.
• Slide 5, 'Business model/ Financial Modeling,' outlines a 'Development Stage' business plan to be completed in 12 months, focusing on hardware outsourcing, software development, validation, testing, and cost reduction up to 30%.
• Slide 6 details the 'Production Stage' business plan, including unit costs (35K+15K BDT for hardware, 5~10K BDT for local components), a sales price of 'Maximum 40K ± 10K BDT per Kit,' and an ask for '$1 M USD' for Series A and '$10 M USD' for Angel investment.
• Slide 7, 'Market Competitions,' features news clippings about Intel's acquisition of Mobileye for $15.3B and Cognitive Technologies joining the autonomous car technology buzz from Russia.
• Slide 8 provides a detailed feature comparison between 'ADAMS™ Basic' and 'ADAMS™ Pro,' listing functionalities like Forward Collision Warning, Lane Departure, Beep and Watch, and Video and Event Recording, alongside images of the product and its components.

Frequently asked questions

What is the core product offered by ADAMS?

ADAMS offers an 'Advanced Driver Assistance and Monitoring System with Intelligent Brake Assist (iBA).' It functions as an 'additional third eye' for drivers, continuously monitoring frontal distance to nearby vehicles and predicting crash situations using intelligent software algorithms before the human driver is aware. This is detailed on Slide 3.

What is the projected market size for ADAS according to the deck?

According to Slide 4, the 'Global Advanced Driver Assistance Systems (ADAS) Market' is projected to reach '$60.14 Billion by 2020,' growing at a 'CAGR of 22.8% (2014-2020).' This indicates a significant and expanding market opportunity for ADAMS.

What is the company's funding ask?

Slide 6, under the 'Production Stage' business plan, indicates a funding ask of '$1 M USD' for Series A and '$10 M USD' for Angel investment. This slide also suggests a break-even point within 6 months of the production stage.

How does ADAMS differentiate its product offerings?

Slide 8 details two product versions: 'ADAMS™ Basic' and 'ADAMS™ Pro.' The 'Pro' version includes all 'Basic' features plus additional functionalities like advanced LIDAR sensor integration for collision avoidance, advanced brake assist, and solutions for 'bad weather' and 'road accidents solved.' This tiered approach suggests a strategy for broader market appeal.

What is the timeline for the development stage?

Slide 5 states that the 'Development Stage' of the business plan is 'Completed In 12 Months.' This stage involves hardware outsourcing, software development, repetitive iteration, validation and testing, and achieving cost reduction of 'up-to 30%,' leading to an 'Aftermarket Kit ready' at an 'Affordable cost.'

ADAMS (SIGMIND) pitch deck: the facts

Company

ADAMS (SIGMIND)

Year

Not stated…

Stage

Early-stage (Development/Production)

Slides

23

Sector

Automotive, AI, ADAS

Deck type

Pitch Deck

Outcome

Not stated

Headquarters

Bangladesh (implied by 'Digital Bangladesh' and 'developed in Bangladesh')

ADAMS (SIGMIND) pitch deck PDF

The full ADAMS (SIGMIND) deck is embedded on this page and can be read slide by slide in the browser — no download or account required. Each slide is covered in the breakdown above.

What the ADAMS (SIGMIND) pitch deck was used for

This deck is for **ADAMS**, an Advanced Driver Assistance and Monitoring System developed by SIGMIND, an AI research and engineering company in Bangladesh focused on computer vision and vehicle safety. It was used in the Startup Bangladesh competition and tied to the government’s iDEA program, where ADAMS | SIGMIND appears as a funded startup in SCM-2 around 2017. The company was at an early development/production stage, presenting its ADAS technology, team, and market analysis (2013–2020) with 23 slides in the automotive and AI safety sector. The deck positions ADAMS as an AI-powered add‑on kit to reduce road accidents in Bangladesh and potentially globally.

Round

Government grant / early-stage support (SCM-2, 2017)

Year

2017

Investors

Government of Bangladesh’s iDEA program (Innovation Design and Entrepreneurship Academy), via SCM-2 funding for ADAMS |

Founded

2016

Founders

Tanvir Tabassum

Headquarters

Dhaka, Bangladesh

Industry

Computer vision, AI video analytics, automotive safety (ADAS)

Use of funds as presented: Development and testing of ADAMS, a computer-vision-based driving assistance and monitoring system for enhanced road safety in Bangladesh.

What happened after the ADAMS (SIGMIND) deck

The ADAMS project successfully secured government funding under Bangladesh’s iDEA program (SCM-2) and, according to SIGMIND, achieved successful tests as an AI-based driving assistance system. Subsequent information shows SIGMIND expanding into broader computer vision solutions like traffic management and surveillance analytics, suggesting that ADAMS was an important early initiative within a grow

• ADAMS | SIGMIND is listed as a funded startup in the Government of Bangladesh’s iDEA portfolio under SCM-2, with a fundi
• SIGMIND’s own materials state that the ADAMS project was funded by the Government of Bangladesh and successfully tested
• SIGMIND subsequently developed and launched additional AI video analytics products, such as TrafficFlow for real-time tr

What the ADAMS (SIGMIND) deck got right

• Clear, high-impact problem focus. The deck presents ADAMS as a focused solution to a severe local problem—high road accident rates in Bangladesh—using AI to predict crashes and alert drivers before collisions, which gives the product clear purpose and societal impact.
• Perceived technical depth and ecosystem recognition. SIGMIND positions itself as one of the first AI research and engineering groups in Bangladesh, collaborating with major AI ecosystems and incubating under programs like NVIDIA Inception, which supports the credibility of the team’s technical capabilities.
• Practical retrofit product design. ADAMS is described as an add-on kit that can be retrofitted to existing ground vehicles to monitor frontal and rear distances and driver gaze, suggesting a practical deployment path without requiring new vehicle platforms.
• Market-aware framing. Inclusion of global ADAS market data (2013–2020) in the deck demonstrates that the team has considered both local safety needs and international market potential, which can appeal to investors seeking scalable opportunities.
• Government-backed validation and testing. Listing in the government iDEA program portfolio (ADAMS | SIGMIND, SCM-2, 2017) and later descriptions of government funding and successful testing provide external validation beyond the company’s own claims.
• Evidence of ongoing company evolution in related domains. SIGMIND’s subsequent product launches (e.g., TrafficFlow) in related domains show that the company remained active in transport and safety-focused AI, which can reassure investors about continuity and capability beyond the initial ADAMS concept.

What could have been stronger

• Limited traction evidence. The deck’s OCR and public Slideshare copy show technical descriptions of ADAMS but do not provide clear, quantified traction such as number of vehicles equipped, pilots completed, crash reductions, or paying customers at the time of the pitch, making it difficult for investors to assess real-world adoption.
• Ambiguous partnership claims. While the deck references collaboration with major AI research players (Google DeepMind, Microsoft, Facebook, IBM, NVIDIA) and incubation under NVIDIA Inception, it does not clarify the nature of these relationships (formal partnerships vs. use of tools/program participation), which could raise questions about how concrete those collaborations are.
• Sparse regulatory and GTM detail. The Slideshare deck references ADAS market data and government recognition but offers little detail on regulatory approvals, integration with vehicle OEMs, or liability considerations for a driver assistance system, leaving important go‑to‑market and compliance aspects underexplained.
• Unclear funding specifics for the ADAMS project. Although the iDEA program lists “ADAMS | SIGMIND” as a funded startup in SCM-2, publicly available information does not specify grant size, commercial milestones, or follow-on funding specific to ADAMS, which limits visibility on the project’s financial runway at the time.

How an investor would read this deck

What draws attention

• Government-backed validation via the iDEA program, where ADAMS | SIGMIND appears as a funded startup in the SCM-2 portfolio, provides early external endorsement and non-dilutive support.
• The ADAMS technology addresses a material safety problem—high road accident rates in Bangladesh—using locally developed AI and computer vision, with potential extension to other emerging markets.
• SIGMIND positions itself as an early AI pioneer in Bangladesh, later evolving into a broader computer vision and video analytics company, suggesting technical depth and a platform that could support multiple products beyond ADAMS.
• Participation in programs like NVIDIA Inception and government incubation for computer-vision driving assistance indicates ecosystem recognition that may de-risk technical feasibility.

Risks that stand out

• ADAS products inherently face high regulatory, safety, and liability scrutiny, and the deck does not provide details on certification, standards compliance, or legal frameworks for deployment in Bangladesh or abroad.
• Public information suggests SIGMIND’s business has evolved toward traffic management and surveillance analytics (e.g., TrafficFlow), which may indicate that ADAMS did not become the core commercial product; investors must verify whether ADAMS remains strategically relevant.
• Funding data available for SIGMIND (grants, angel/seed investments) are at the company level and often undisclosed; without ADAMS-specific revenue or funding figures, it is hard to isolate the economic performance of this particular project.

Questions this deck invites

• What specific grant amount and non-financial support did ADAMS | SIGMIND receive under SCM-2 of the iDEA program, and what milestones were attached to that funding?
• How many vehicles and drivers have used ADAMS in real-world tests, what crash or near-miss reduction metrics were observed, and are there independent evaluations of its safety impact?
• What is the current commercial status of ADAMS within SIGMIND’s product portfolio—has it been productized and sold, or has focus shifted fully to other offerings like TrafficFlow and video analytics?
• What regulatory approvals, certifications, or OEM integrations (if any) has ADAMS obtained, and what is the plan to manage liability and driver behavior in deployment?
• How do the claimed collaborations with large AI organizations (e.g., Google DeepMind, NVIDIA) translate into durable advantages for ADAMS—are there co-development contracts, cloud credits, or only program participation?

What founders can take from the ADAMS (SIGMIND) deck

• Government innovation programs (such as Bangladesh’s iDEA initiative) can provide early validation and funding for deep-tech safety projects like ADAMS, which helps a young company de-risk technology before seeking private capital.
• Positioning a product like ADAMS within a broader AI and computer vision company (SIGMIND) shows how a single vertical (driver assistance) can be part of a platform strategy, potentially enabling pivots or expansion to adjacent markets such as traffic management.
• Explicitly tying a safety technology to a pressing local problem—Bangladesh’s traffic fatalities—can make a pitch more compelling, especially when combined with government funding and successful tests.
• Participation in global programs (e.g., NVIDIA Inception, K-Startup Grand Challenge) and listing on international investor platforms illustrates how startups from emerging ecosystems can use competitions and grants to gain visibility and non-dilutive capital.
• The limited publicly accessible detail on ADAMS-specific traction, funding size, and regulatory progress underscores the importance of documenting and communicating concrete milestones in pitch decks for critical systems like ADAS.

ADAMS (SIGMIND) pitch deck: common questions

What is ADAMS and what problem does it solve?

ADAMS (Advanced Driver Assistance and Monitoring System) is an AI-powered add-on kit for ground vehicles that continuously monitors frontal distance and rear-end situations, predicting crash risks and alerting drivers before collisions, while also measuring driver eye gaze using computer vision. It is designed to act as a “third eye” for human drivers to reduce road accidents.

Who is behind ADAMS?

ADAMS is developed by SIGMIND, a Dhaka-based AI research and engineering company that builds computer vision and video analytics solutions for safety and automation. SIGMIND describes itself as one of the pioneering AI-focused startups in Bangladesh, working with deep learning and intelligent video analytics for enterprises and governments.

What fundraising or support was this ADAMS deck associated with?

The deck was used in the Startup Bangladesh competition and is linked to the government iDEA program, where "ADAMS | SIGMIND" is listed as a funded startup in SCM-2, with a funding year of 2017. The presentation frames the company as early-stage, in development/production, targeting both the Bangladeshi and global ADAS markets.

What market opportunity and impact does ADAMS claim?

The deck cites global ADAS market projections (2013–2020) and positions ADAMS as a low-cost, locally developed solution for Bangladesh’s high road fatality rates. Later descriptions of the project state that ADAMS was funded by the Government of Bangladesh and successfully tested as a computer-vision-based driving assistance technology for enhanced road safety.

What happened to ADAMS and SIGMIND after this pitch deck?

According to SIGMIND’s own profile, the ADAMS project was incubated and funded by the Government of Bangladesh and successfully tested as a driving assistance technology. Subsequent company materials show SIGMIND expanding into broader AI video analytics products (e.g., traffic management and surveillance analytics), suggesting that ADAMS was an early vertical within a growing computer vision business rather than the company’s only product.

Sources

Funding and outcome facts on this page were researched on 2026-08-21 from the pages below.

• Startup bangladesh-competition-pitch-deck-adams - Slideshare
• Abu Anas Ibn Samad - AI Innovator & Technology... - Sigmind.ai
• Book1
• Meet the software that wants to fix Dhaka traffic - The Daily Star
• Dr. Simon Adams interviewed on the relocation of a group of...
• SIGMIND | software development
• Sigmind - ExitStack
• SIGMIND - Overview

ADAMS (SIGMIND) pitch deck slides

What each slide of the ADAMS (SIGMIND) pitch deck says

Slide 1

Advanced Driver Assistance and Monitoring System with Intelligent Brake Assist (IBA) Commercial name: ‘ADAMS ™’ =) = -rdw ww LE ET ; 21a eid

Slide 2

Slide 1: Introduction - Company What is SIGMIND . The very first A.l. research group and engineering solution provider in Bangladesh. . Working collaboratively with top A.l. research giants like Google Deepmind, Microsoft, Facebook, IBM and NVIDIA to accelerate the A.l. race. . Recognized on the TOP 50 list of the governments very first Connecting Startups Bangladesh platform. . Incubating with the NVIDIA Inception Program which recognizes top emerging A.l. startups around the world. . Conducts research, develops and provides machine learning based solution to potential customers. . Innovating solutions for the upcoming A.L. first economy. DIVISION DIGITAL BANGLADESH Skiled. Equipped. Digit…

Slide 3

What We do Areas of Expertise : Researching on Machine * Machine learning, specially Deep Learning learning algorithms. * Mechatronics, Robotics and Unmanned * Developing products based systems on the researches. * Industrial Automation = go " + Computer Vision Ll Providing custom solution to + Big Data Analytics end-users that requires « Conversational Agents narrow or deep Artificial Intelligence. " -— v A al 2 3) DIGITAL ar BANGLADESH = gO ADVANCING RL. FOR HUMANITY. Skilled. Equipped. DigitaiReady.

Slide 4

Slide 2: Introduction — Management Team Our Mission * Advancing the A.l. race through practical engineering application of narrow and deep A.l. * Stepping forward on developing Artificial General Intelligence. Our Team Developers and other team members BANGLADESH Skilled. Equipped. DigitalReady. - wm DIGITAL ADVANCING AL FOR HUMARMITY.. v

Slide 5

Slide 3: Problem/ Current Scenario Road Accident: A Human Error «Collision of road vehicles (e.g. Buses, Truck, Cars etc.) is the most single significant reason for road accidents in Bangladesh. * Licensed and trained but prone to Human Response Limit * Annual fatality rate from road accidents is found to be 85.6 fatalities per 10,000 vehicles (World Bank) * More than 8,642 people were killed and 21,855 others injured in road crashes across Bangladesh in 2015. — PERI . [ hb 4 F 20 ct K. CE _ hs A / - pe 'S dR BR Sty LT Ir, 3 DIGITAL £3 + BANGLADESH = 3 ADVANCING A... FOR HUMANITY. SERA Se

Slide 6

Existing Market Solutions: * Self-driving / autonomous vehicle «Adaptive cruise control * Forward Collision Warning System > — ; (ES) Advanced Brake Assistance ES = 2) * Collision Avoidance System etc A = 3 @ ppb ilo SINGLE CAMERA BASED iY Drom carr — . | ANE DEPARTURE WARNING. ih ( pS => = HORTARD COUSON ALITY = CR)

Slide 7

Slide 4: Solution/ Way forward Our Technology : ADAMS * Advanced Driver Assistance and Monitoring System acts as an additional third eye to the human driver. It monitors frontal distance to nearby vehicles continuously and its intelligent software algorithm predicts any crash situation early even before the human driver could be aware of. R LR EET TT TR DIGITAL BANGLADESH Skilled. Equipped. DigitalReady. ROURNCING RI FOR HURAMITY. v v

Slide text above is read directly from the ADAMS (SIGMIND) deck PDF embedded on this page.

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