TechnoScore is a one-stop engineering partner for your digital needs. We help forward-thinking businesses make the most of their AI, data science, and modern engineering vision to accelerate digital growth. Whether you are an eCommerce brand seeking higher conversions, a data-driven enterprise demanding smarter analytics, or a product team ready to modernize legacy infrastructure, our expert teams deliver measurable outcomes, fast and reliably.
Turn browsing intent into actual purchases with AI-powered personalization, search & discovery, product recommendations, and merchandising automation that converts browsers into buyers at scale.
Deliver intent-aware search results with semantic understanding, typo tolerance, and faceted filtering.
Deliver intent-aware search results with semantic understanding, typo tolerance, and faceted filtering.
Surface the right products at the right time with collaborative filtering and deep learning models.
Automate pricing, promotions, and category ranking to maximize revenue per visitor.
Design and build digital experiences people actually want, with AI-driven UX, headless architectures, and conversion-optimized pages that turn first-time visitors into long-term customers.
Deliver consistent, connected experiences across web, mobile, in-store, and support, so customers never feel like they're starting over.
Find where customers drop off, fix what's costing you conversions, and personalize every step based on real behavior, not assumptions.
User research, wireframing, prototyping, and design systems built for conversion.
React, Next.js, and Vue.js applications engineered for speed, accessibility, and scalability.
Transform raw data into revenue-generating intelligence with modern data platforms, predictive analytics, and production-ready AI models that power smarter decisions across every team.
dbt, Snowflake, BigQuery, and Redshift pipelines that make data trustworthy and fast.
Custom model development, fine-tuning, and deployment for classification, regression, NLP, and computer vision.
Forecast demand, flag churn, and surface anomalies before they hit the bottom line, with models trained on your data and wired into the systems your teams already use.
Move legacy systems out of your way and into the cloud, with AI-assisted refactoring, microservices, and modern engineering practices that cut costs while unlocking speed.
Comprehensive audit of codebases, architectures, and dependencies to define the modernization roadmap.
Lift-and-shift, re-platform, and re-factor workloads on AWS, Azure, and Google Cloud.
Rebuild the developer platform so engineering teams ship faster, infrastructure stays consistent, and reliability becomes a measurable contract.
Bake security and compliance (SOC 2, GDPR, HIPAA) into how software is built and shipped, with zero-trust architecture, DevSecOps pipelines, and audit-ready evidence.
Unify every customer signal into a single intelligent profile, powered by real-time CDP architectures, identity resolution, and AI-powered segmentation that fuels personalization across every channel.
Bring every customer signal from CRM, commerce, web, and support into one place and turn fragmented records into sharply defined ideal customer profiles.
Go beyond static segments with real-time profiles, predictive scores, and AI signals that reveal not just who customers are, but what they'll do next.
Push the right audiences and triggers into email, paid media, CRM, and on-site experiences the moment they qualify, every channel acting on live data.
Keep customer data compliant, trustworthy, and measurable, with consent management, lineage tracking, and attribution analytics built in from day one.
These numbers represent real outcomes achieved for real clients. Our AI engineers focus on instrumentation and measurability from day one, so every initiative is tied to a metric, every metric is tied to business value, and every delivery moves the needle.
Full-stack mobile (iOS, Android, Flutter, React Native), SaaS, and web application development (React, Next.js, Node.js, and cloud-native infrastructure) from architecture to production. We build applications that are secure, testable, observable, and scalable.
Production-grade web platforms engineered for the teams that have to live with the codebase long after launch. We build customer-facing portals, B2B dashboards, internal operations tools, and full platform products end to end.
iOS, Android, and cross-platform apps built around how your users actually behave on a phone, with the right platform decision made on merit, not margin.
B2B and B2C SaaS products engineered with the multi-tenancy, billing logic, and enterprise controls your product needs at its stage, not someone else's roadmap.
From exploratory data analysis to production-grade models and GenAI applications. Our AI engineers work across the full lifecycle, from problem framing and feature engineering to model training, evaluation, deployment, and monitoring.
LLM-powered features and applications engineered for the messy reality of production traffic, with variable inputs, cost ceilings, latency budgets, and outputs that have to hold up when real users push them.
Agents that take real action on behalf of users: calling tools, querying systems, and chaining steps. All configured within the permission boundaries and escalation rules that your business actually operates by.
NLP models and conversational AI are built to actually close the loop, understanding what users mean, routing them correctly, and resolving requests without bouncing them to a human queue.
Production ML systems for classification, forecasting, recommendations, and computer vision, built around data your team trusts, accuracy you can measure, and monitoring that catches drift before customers feel it.
End-to-end data engineering and analytics services that transform raw data into reliable, business-ready insights. We also provide AI-focused data annotation and broader training services.
Production-grade data engineering your analytics, BI, and ML systems can actually depend on. We build ETL/ELT pipelines, warehouses, and lakehouse architectures built to hold up under real volume, real change, and real audit scrutiny.
Training data labeled to the accuracy your models actually need: image, video, text, and audio annotation delivered at scale by domain-trained reviewers, with quality controls that hold up under audit.
Large-scale transformation, enrichment, and validation pipelines that turn raw data into clean, ML-ready inputs, with quality gates at every stage so nothing broken makes it to the downstream stages.
Accelerate delivery and reduce operational overhead with cloud-native infrastructure, DevOps automation, and FinOps discipline.
Cloud architecture chosen on technical fit, not partner kickbacks. Landing zone design, workload migration, and multi-cloud strategies engineered with security guardrails, identity boundaries, and disaster recovery designed in from the start.
The distance between a code commit and a production user should be measured in minutes. We design and automate the full delivery path, including environment parity, automated testing, secrets handling, and rollback safety wired into every pipeline lane.
Cloud bills that outpace revenue are a governance problem, not a billing problem. We deliver cost visibility, tagging discipline, commitment planning, and team structures that turn cost ownership into a habit rather than a quarterly fire drill.
Comprehensive quality assurance that ships confidence, not just code. Our QA teams embed quality throughout the development lifecycle; not just at the end.
Automated testing that catches regressions before users do. Our solutions are built into the pipeline, not run manually before each release. Functional, regression, API, and UI coverage is designed around the parts of your product that actually break.
Load, stress, and scalability testing that tells you exactly where your system breaks before your customers find out. Engineered around realistic traffic patterns, not synthetic benchmarks that look good in a report.
Application security testing that goes beyond a scanner report, spanning manual penetration testing, automated SAST and DAST, and dependency analysis. Our approach is designed to surface the vulnerabilities that automated tools miss on their own.
Scale your engineering team on demand with pre-vetted senior engineers who integrate seamlessly into your workflows, tools, and culture.
Engineering talent deployed to your team in weeks instead of quarters; pre-vetted on technical depth, communication, and delivery discipline, so you skip the recruiting cycle and start shipping.
AI and ML engineers vetted on shipped production work, not academic credentials. From LLM application developers to MLOps engineers and computer vision specialists, deployed to teams that need genuine AI depth from day one.
Every engagement starts with business metrics, not technology choices.
No juniors on critical work. Every project is led by senior engineers.
We embed AI into every layer of the stack as a core design principle.
Weekly demos and real-time dashboards keep everything visible.
Agile sprints and reusable components speed up delivery.
India, USA and UK offices with large engineering scale.
SOC 2, GDPR and HIPAA-aware development practices.
We build long-term relationships and support growth.
Our cross-industry experience means we bring proven patterns and reusable components to every project, reducing time-to-value and minimizing risk.
One of Europe's largest multi-brand retailers specializing in bathroom fixtures, lighting, and home interiors, with a presence across more than 55 countries and a complex product catalog spanning hundreds of thousands of SKUs.
The legacy search and discovery layer was returning irrelevant results, leading to high bounce rates, poor product findability, and significant revenue leakage.
Developed a semantic search and learning-to-rank system that leverages historical data and AI-driven automation to improve product relevance and conversion rates.
A leading North American-based commercial finance firm specializing in business credit and asset-backed loans. Serving the middle-market sector, they manage hundreds of loan applications each month.
Despite being a prominent player, the client struggled with legacy underwriting systems and manual processes, resulting in slow processing times, high labor costs, and high data entry errors.
A workflow automation and intelligent document processing solution that could provide secure, centralized access to digitized loan documents and automate document processing and underwriting to reduce labor costs and improve speed.
AI and Agentic Solutions, eCommerce, Data Engineering, Application Development, QA
SunTec India — 1999 (25+ years in operation)
1,500+ full-time employees
ISO 9001, ISO 27001, CMMI Level 3
Onshore, offshore, and hybrid engagement models
Since 1999, SunTec has been a trusted business process and software engineering partner for technology companies worldwide. Our team of over 1,500 full-time employees delivers innovative services every day to help our clients save time and money.
