Data and AI
Grounding Decision
Intelligence in Data
You Can Trust
Design, build, and run the full data-to-AI stack: ETL/ELT pipelines, production AI models, predictive analytics, and RAG-based context anchoring.
CMMI
Level 3
HIPAA
Compliant
AWS
Partner Network
ISO Certified
For Data Quality & Security
SOC 2
Type II Compliant
Why Most Data Initiatives Stall Before They Deliver Value
Data is Collected, Not Governed
Analysts spend most of their time cleaning data, compromising on tracking what happens after it.
Models are Built for Demos, Not Prod
Proof-of-concept models that look great in a notebook often underperform in production.
Predictive Insights Arrive Too Late
Monthly reports about what happened last month cannot drive competitive intelligence.
Teams Work in Silos
Data science outputs are not connected to business workflows, resulting in dashboards that no one checks.
Four Solutions. One Connected Data-to-AI Stack.
Each data & AI solution stands on its own, and each is built to plug into the next. Start where your biggest gap is; scale without rebuilding.
Data Engineering & Integration
The Foundation Everything Else Stands on.
We unify unstructured data from every system you run into a reliable, governed platform. Analytics and AI work from one version of the truth, not conflicting spreadsheets.
- Modern open table formats (Apache Iceberg, Delta Lake) & Microsoft Fabric implementation
- Data warehouse & lakehouse builds on Snowflake, Databricks, BigQuery, Redshift
- Real-time, streaming data integration
- Data quality, governance and lineage
AI & Machine Learning
Models that Make it Out of Sandboxes.
From classic ML to generative AI, we build models around a measurable business outcome. We then deploy, monitor, and retrain them so performance holds up in production.
- Custom ML for classification, forecasting, and recommendations
- Generative AI and LLM integration into your apps
- Model fine-tuning on your domain data
- AI agents and intelligent workflow automation
Business Intelligence & Predictive Analytics
From What Happened to What Happens Next
We give leaders dashboards they actually open, built on trusted metrics. We also layer in forecasting so planning runs on probabilities, not gut feel.
- Dashboards in Power BI, Tableau and Looker
- KPI frameworks and governed semantic layers
- Self-service analytics for business teams
- Embedded analytics inside your products
Grounded AI & Knowledge Retrieval
AI that Answers from your Knowledge, with Citations
We connect LLMs to your documents, wikis, tickets, and databases through retrieval-augmented generation, so every answer is traceable, permission-aware, and far less prone to hallucination.
- RAG pipelines across structured and unstructured data
- Vector, keyword, and hybrid search architecture
- Enterprise knowledge assistants and copilots
- Access-aware retrieval that respects user permissions
Is Your Data Ready for AI — or is AI About to Expose
How Unready It Is?
Most AI pilots stall on data, not models. Our data engineers map your sources,
flag the quality gaps, and shortlist the use cases you can ship first.
From First Data Audit to AI in Production; Without the Pilot Purgatory.
STAGE 01
Discover & assess
Audit data sources, quality, infrastructure, and skills. Prioritize use cases by value and feasibility.
You get: readiness report + use-case roadmap
STAGE 02
Design the Architecture
Choose the right cloud, tools, and model approach for your stack, budget, and compliance needs.
You get: reference architecture + delivery plan
STAGE 03
Build & Integrate
Agile sprints with demos. Pipelines, models, and dashboards wired into the systems your teams already use.
You get: a production use case, not a slide
STAGE 04
Run & Improve
Monitoring, retraining, cost optimization, and knowledge transfer, or a dedicated team to run it for you.
You get: measurable outcomes, compounding
How We Stand Against the Other Options on Your Shortlist.
| Feature | Off-the-shelf Data & AI Platforms | TechnoScore’s Data & AI Solutions |
|---|---|---|
| Scope | One tool; integration is your job | End-to-end: data engineering, ML, BI, and grounded AI under one team |
| Path to Production | Quick start; limited to what the product supports | Pilot-first: one use case live & validated before scaling |
| Fit with Your Stack | You adapt to their platform | Tool-agnostic; built around the systems you already run |
| Ownership of Code, Data & Models | Vendor lock-in; data lives on their platform | You own all IP, pipelines, and model artifacts |
| AI Accuracy & Grounding | Generic; limited tuning to your domain | Retrieval on your data, citations, evaluation suites, access controls |
| Cost Model | Per-seat or usage fees that grow with scale | Global delivery, transparent fixed-price or T&M; up to 70% below in-house hiring |
| After Go-Live | Vendor support for the tool only | MLOps, monitoring, and a team you can scale up or down |
End-to-end: data engineering, ML, BI, and grounded AI under one teamScope
- Off-the-shelf Data & AI Platforms
- One tool; integration is your job
- TechnoScore’s Data & AI Solutions
- End-to-end: data engineering, ML, BI, and grounded AI under one team
Path to Production
- Off-the-shelf Data & AI Platforms
- Quick start; limited to what the product supports
- TechnoScore’s Data & AI Solutions
- Pilot-first: one use case live & validated before scaling
Fit with Your Stack
- Off-the-shelf Data & AI Platforms
- You adapt to their platform
- TechnoScore’s Data & AI Solutions
- Tool-agnostic; built around the systems you already run
Ownership of Code, Data & Models
- Off-the-shelf Data & AI Platforms
- Vendor lock-in; data lives on their platform
- TechnoScore’s Data & AI Solutions
- You own all IP, pipelines, and model artifacts
AI Accuracy & Grounding
- Off-the-shelf Data & AI Platforms
- Generic; limited tuning to your domain
- TechnoScore’s Data & AI Solutions
- Retrieval on your data, citations, evaluation suites, access controls
Cost Model
- Off-the-shelf Data & AI Platforms
- Per-seat or usage fees that grow with scale
- TechnoScore’s Data & AI Solutions
- Global delivery, transparent fixed-price or T&M; up to 70% below in-house hiring
After Go-Live
- Off-the-shelf Data & AI Platforms
- Vendor support for the tool only
- TechnoScore’s Data & AI Solutions
- MLOps, monitoring, and a team you can scale up or down
Imagine what your team could do with an AI
assistant that actually knows your business?
Bring one use case. We'll show you a grounded prototype built on your own data —
with sources cited in every answer.
Tech Stack We Use
- Web Development
- Mobile App Development
- Back-End, APIs, & Databases
- AI, ML & Generative AI
- Data Engineering & Analytics
- Data Annotation & Labeling
- Cloud, DevOps & FinOps
- QA & Testing
Data and AI Services: FAQs
Start with data engineering & integration. A short assessment shows which sources matter most for your first use case, so we consolidate only what delivers value first rather than migrating everything at once.
A grounded AI system retrieves facts from your approved sources before it answers, and cites them. A generic chatbot answers from its training data alone, which is how hallucinations and outdated answers creep in.
Not always. Some AI use cases can run on a focused, well-prepared dataset. For anything that spans departments or needs ongoing retraining, a governed data platform pays for itself quickly.
We are tool-agnostic and work across AWS, Azure, and Google Cloud, with platforms such as Snowflake, Databricks, Power BI, Tableau, and leading LLM providers. We recommend what fits your stack, not what we resell.
TechnoScore keeps your data secure through our ISO 27001 (information security), ISO 9001 (quality management), and CMMI Level 3 certifications, while building with SOC 2, GDPR, HIPAA, and EU AI Act requirements in mind. To safeguard your information, data stays within your environment wherever possible, access follows your existing permissions through role-based access control, and every engineer works under strict non-disclosure agreements. We don’t use your data for training purposes.
Tell us what's actually broken — a workflow, a search bar, a sales channel, or a team that keeps turning over.
Project initiation within 48 hours
Round-the-clock support
Strict NDAs for data security
Talk to an engineer
Share your project requirements.