Accelerators that turn enterprise intelligence into
compounding
SG Analytics (SGA) embeds a comprehensive suite of AI accelerators directly into its delivery model spanning AI Strategy, Data Engineering, Generative AI (GenAI) Solutions, and Autonomous Agents. These accelerators are contextualized via SGA’s deep domain expertise in the research & insights space and Straive’s strength in operationalizing AI at scale, enabling faster outcomes and tangible business impact for clients.
80+
5K+
6K+
40+
Accelerators that turn enterprise intelligence into
compounding
SG Analytics (SGA) embeds a comprehensive suite of AI accelerators directly into its delivery model spanning AI Strategy, Data Engineering, Generative AI (GenAI) Solutions, and Autonomous Agents. These accelerators are contextualized via SGA’s deep domain expertise in the research & insights space and Straive’s strength in operationalizing AI at scale, enabling faster outcomes and tangible business impact for clients.
80+
5K+
6K+
40+
what you assemble and how fast.
The analytics industry is transforming as static reports evolve into intelligent agents and autonomous workflows, collapsing custom build timelines from quarters to weeks. Today, success requires rapidly assembling strategy, data foundations, and GenAI capabilities into cohesive, AI-powered systems.
SGA combines two decades of research expertise with Straive’s strength in operationalizing AI to deliver production-ready AI accelerators engineered across the intelligence stack:
- Autonomous Workflows: Transitioning static reports into GenAI-powered, decision-driven systems.
- Unified Operating Model: Integrating strategy, data, and agentic AI into a seamless architecture.
- Trusted by Default: Reinventing insight generation with built-in human-in-the-loop (HITL) governance.
what you assemble and how fast.
The analytics industry is transforming as static reports evolve into intelligent agents and autonomous workflows, collapsing custom build timelines from quarters to weeks. Today, success requires rapidly assembling strategy, data foundations, and GenAI capabilities into cohesive, AI-powered systems.
SGA combines two decades of research expertise with Straive’s strength in operationalizing AI to deliver production-ready AI accelerators engineered across the intelligence stack:
- Autonomous Workflows: Transitioning static reports into GenAI-powered, decision-driven systems.
- Unified Operating Model: Integrating strategy, data, and agentic AI into a seamless architecture.
- Trusted by Default: Reinventing insight generation with built-in human-in-the-loop (HITL) governance.
Strategy & Roadmap
Data Foundation
AI & GenAI Solutions
Agentic Operations
Strategy & Roadmap
AI-readiness scoring, use-case prioritization, ROI modeling and governance frameworks – before a single model is trained.
Data Foundation
Data architecture, pipeline engineering, cloud modernization, DQM, and data mesh/fabric – the engineered base that AI needs to actually work.
AI & GenAI Solutions
ML, NLP, RAG, Multi-modal AI, and GenAI products that augment human workflows – across leading tech stacks and expert-in-the-loop.
Agentic Operations
Agent orchestration, autonomous workflows, agentic analytics, and HITL governance – operationalize AI at scale.
- AI Maturity Assessment
- ROI Calculator
- GenAI Maturity Demo
- DQ Schema Forge
- Metadata AI
- LLM Foundry (Elevate)
- Hypothesis Studio
- AI Forecast
- Decision Intelligence
- Astra Agent Framework
- Agent Builder
- Agentic Fraud Architecture
Strategy & Roadmap
AI-readiness scoring, use-case prioritization, ROI modeling and governance frameworks – before a single model is trained.
Data Foundation
Data architecture, pipeline engineering, cloud modernization, DQM, and data mesh/fabric – the engineered base that AI needs to actually work.
AI & GenAI Solutions
ML, NLP, RAG, Multi-modal AI, and GenAI products that augment human workflows – across leading tech stacks and expert-in-the-loop.
Agentic Operations
Agent orchestration, autonomous workflows, agentic analytics, and HITL governance – operationalize AI at scale.
- AI Maturity Assessment
- ROI Calculator
- GenAI Maturity Demo
- DQ Schema Forge
- Metadata AI
- LLM Foundry (Elevate)
- Hypothesis Studio
- AI Forecast
- Decision Intelligence
- Astra Agent Framework
- Agent Builder
- Agentic Fraud Architecture
40+ accelerators, production-tested and deployed.
AI Strategy & Roadmapping
A structured diagnosis before investment – AI-readiness scoring, use-case prioritization, ROI modeling and roadmap design that gives boards, executives, and CFOs the evidence they need to commit.
Capabilities
- AI-Readiness Assessment : current-state audit, maturity scoring, gap analysis
- Use-Case Identification & Prioritization : opportunity mapping, feasibility scoring
- ROI & Business Impact Modeling : value quantification, KPI design, time to value
- AI Roadmap Design : phased initiatives, milestone mapping, technology selection
- Governance & Ethics Framework: Responsible AI, compliance, explainability
Named Accelerators
GenAI Maturity Model
ROI Calculator
Data Maturity Scorer
Data Foundation & Engineering
The substrate that makes AI possible – data architecture, pipeline engineering, cloud modernization, and federated governance – engineered for the model era, not the dashboard era.
Capabilities
- Data Architecture Design : logical/physical architecture, lakehouse blueprints
- >Data Pipeline Engineering : ingestion, ETL/ELT, batch & real-time flows
- Cloud Data Modernization : AWS, Azure, GCP, Snowflake, Databricks migrations
- Data Governance & Quality : cataloguing, lineage, DQM, security, compliance
- Data Mesh/Data Fabric : decentralized architecture, federated governance
Named Accelerators
Metadata AI
LLM Foundry – Elevate
Data Schema Understanding
AI & GenAI Solutions
The first layer of intelligence, deployed on top – classical ML, NLP, vision, LLM fine-tuning, RAG, and multi-modal GenAI products – with expert-in-the-loop governance built in.
Capabilities
- ML & Deep Learning : forecasting, classification, computer vision
- NLP & Text Intelligence : sentiment, entity extraction, summarization
- LLM Fine-Tuning & Customization : SFT, RLHF, domain adaptation
- RAG & Knowledge Retrieval : vector DBs, enterprise search, grounding
- ML & AI Ops : end-to-end model life cycle, scalable deployment
- GenAI Products : copilots, content generation, code assist
- Multi-Modal AI : vision + language, audio + text, cross-modal reasoning
Named Accelerators
Al Forecast
Decision Intelligence
Scenario Analysis
Agentic AI & Autonomous Operations
Agent orchestration, decision engines, autonomous workflows, and agentic analytics – with HITL guardrails, audit trails, and governance that support enterprise risk.
Capabilities
- Agent orchestration, decision engines, autonomous workflows, and agentic analytics – with HITL guardrails, audit trails, and governance that support enterprise risk.
- Decision Intelligence : automated decision engines, rules + AI hybrids
- Autonomous Workflow Automation : agentic pipelines, RPA + AI fusion
- HITL Governance : intervention triggers, audit trails, expert in loop
- Agentic Analytics : self-directing cycles: ingest → model → evaluate → act
Named Accelerators
Agent Builder
Agentic Fraud Architecture
Kadal – EdTech Agent
Aikira – Publishing Agent
HITL Framework
AI Deal studio
AI Invest studio
40+ accelerators, production-tested and deployed.
AI Strategy & Roadmapping
A structured diagnosis before investment – AI-readiness scoring, use-case prioritization, ROI modeling and roadmap design that gives boards, executives, and CFOs the evidence they need to commit.
Capabilities
- AI-Readiness Assessment : current-state audit, maturity scoring, gap analysis
- Use-Case Identification & Prioritization : opportunity mapping, feasibility scoring
- ROI & Business Impact Modeling : value quantification, KPI design, time to value
- AI Roadmap Design : phased initiatives, milestone mapping, technology selection
- Governance & Ethics Framework: Responsible AI, compliance, explainability
Named Accelerators
GenAI Maturity Model
ROI Calculator
Data Maturity Scorer
Data Foundation & Engineering
The substrate that makes AI possible – data architecture, pipeline engineering, cloud modernization, and federated governance – engineered for the model era, not the dashboard era.
Capabilities
- Data Architecture Design : logical/physical architecture, lakehouse blueprints
- >Data Pipeline Engineering : ingestion, ETL/ELT, batch & real-time flows
- Cloud Data Modernization : AWS, Azure, GCP, Snowflake, Databricks migrations
- Data Governance & Quality : cataloguing, lineage, DQM, security, compliance
- Data Mesh/Data Fabric : decentralized architecture, federated governance
Named Accelerators
Metadata AI
LLM Foundry – Elevate
Data Schema Understanding
AI & GenAI Solutions
The first layer of intelligence, deployed on top – classical ML, NLP, vision, LLM fine-tuning, RAG, and multi-modal GenAI products – with expert-in-the-loop governance built in.
Capabilities
- ML & Deep Learning : forecasting, classification, computer vision
- NLP & Text Intelligence : sentiment, entity extraction, summarization
- LLM Fine-Tuning & Customization : SFT, RLHF, domain adaptation
- RAG & Knowledge Retrieval : vector DBs, enterprise search, grounding
- ML & AI Ops : end-to-end model life cycle, scalable deployment
- GenAI Products : copilots, content generation, code assist
- Multi-Modal AI : vision + language, audio + text, cross-modal reasoning
Named Accelerators
Al Forecast
Decision Intelligence
Scenario Analysis
Agentic AI & Autonomous Operations
Agent orchestration, decision engines, autonomous workflows, and agentic analytics – with HITL guardrails, audit trails, and governance that support enterprise risk.
Capabilities
- Agent orchestration, decision engines, autonomous workflows, and agentic analytics – with HITL guardrails, audit trails, and governance that support enterprise risk.
- Decision Intelligence : automated decision engines, rules + AI hybrids
- Autonomous Workflow Automation : agentic pipelines, RPA + AI fusion
- HITL Governance : intervention triggers, audit trails, expert in loop
- Agentic Analytics : self-directing cycles: ingest → model → evaluate → act
Named Accelerators
Agent Builder
Agentic Fraud Architecture
Kadal – EdTech Agent
Aikira – Publishing Agent
HITL Framework
AI Deal studio
AI Invest studio
built to move from rapid proof-of-concept to production scale.
Deploy where your data lives.
Model-agnostic by architecture.
Open-source & fine-tuned
Eight modular microservices engineered to spin up production-ready proofs-of-concept in seven days.
- LLM Gateway Proxy API: Centralized routing, cost-tracking, and model-fallback management
- Guardrail & Moderation API: Real-time PII masking, safety filtering, and prompt injection defense
- Document Vision Parser API: High-fidelity layout, chart, and table extraction from enterprise documents
- Audio Intelligence API: Multi-lingual speech-to-text, diarization, and semantic audio parsing
- Vector & Embedding API: High-performance semantic similarity scoring for enterprise knowledge retrieval
- Semantic Clustering API: Automated, unsupervised grouping of massive unstructured data arrays
- Prompt Registry API: Dynamically managed, version-controlled prompts tailored by domain context
built to move from rapid proof-of-concept to production scale.
Deploy where your data lives.
Model-agnostic by architecture.
Open-source & fine-tuned
Eight modular microservices engineered to spin up production-ready proofs-of-concept in seven days.
- LLM Gateway Proxy API: Centralized routing, cost-tracking, and model-fallback management
- Guardrail & Moderation API: Real-time PII masking, safety filtering, and prompt injection defense
- Document Vision Parser API: High-fidelity layout, chart, and table extraction from enterprise documents
- Audio Intelligence API: Multi-lingual speech-to-text, diarization, and semantic audio parsing
- Vector & Embedding API: High-performance semantic similarity scoring for enterprise knowledge retrieval
- Semantic Clustering API: Automated, unsupervised grouping of massive unstructured data arrays
- Prompt Registry API: Dynamically managed, version-controlled prompts tailored by domain context
AI Does the Volume Work
Data ingestion, document parsing, model builds, RAG retrieval, anomaly detection – compressed from days to hours on our in-house AI stack, plugged into your preferred hyperscaler.
Humans Apply Judgment
Senior analysts, domain experts, and quants review every AI output against business context, and compliance requirements. Expert-in-loop is the default, not an add-on.
Operationalize at Scale
To operationalize agentic workflows safely at scale, a native grounding layer and an autonomous checker agent validate every single transaction. By executing continuous fact-checking, strict deduplication, and high-frequency refinement cycles, the system aggressively drives down hallucinations and preemptively mitigates model drift.
7 -14 days
from ideation to working AI proof-of-concept
4 -8 weeks
deployed AI solution supported by experts-in-loop
40 – 60%
reduction in cycle time on core analytical deliverables
3x
target ROI for AI & analytics engagements
AI Does the Volume Work
Data ingestion, document parsing, model builds, RAG retrieval, anomaly detection – compressed from days to hours on our in-house AI stack, plugged into your preferred hyperscaler.
Humans Apply Judgment
Senior analysts, domain experts, and quants review every AI output against business context, and compliance requirements. Expert-in-loop is the default, not an add-on.
Operationalize at Scale
To operationalize agentic workflows safely at scale, a native grounding layer and an autonomous checker agent validate every single transaction. By executing continuous fact-checking, strict deduplication, and high-frequency refinement cycles, the system aggressively drives down hallucinations and preemptively mitigates model drift.
7 -14 days
from ideation to working AI proof-of-concept
4 -8 weeks
deployed AI solution supported by experts-in-loop
40 – 60%
reduction in cycle time on core analytical deliverables
3x
target ROI for AI & analytics engagements
Accelerators live in real enterprise environments.
– ASSET MANAGEMENT
LEADING INDIAN ASSET MANAGER
– ENVIRONMENTAL SERVICES
LEADING ENVIRONMENTAL & ENGINEERING SERVICES FIRM
– INSURANCE
AGENTIC FRAUD DETECTION
– CROSS-INDUSTRY
ASTRA DEPLOYMENTS
Accelerators live in real enterprise environments.
– ASSET MANAGEMENT
LEADING INDIAN ASSET MANAGER
– ENVIRONMENTAL SERVICES
LEADING ENVIRONMENTAL & ENGINEERING SERVICES FIRM
– INSURANCE
AGENTIC FRAUD DETECTION
– CROSS-INDUSTRY
ASTRA DEPLOYMENTS
Questions we get before the contract.
SGA’s accelerator is a pre-built, production-grade module that compresses custom build timelines for specific AI or analytics workflows. Each accelerator is named, versioned, and shipped with a named tech stack, HITL governance, and a documented deployment path.
The 4A Flywheel is SGA’s operating framework for AI and advanced analytics engagements. It organizes the accelerator library across four sequential stages: Assess, Architect, Augment, and Autonomize.
SGA moves from ideation to a working AI proof-of-concept in 7–14 days, and to a deployed, expert-in-loop AI solution in 4–8 weeks.
Supported platforms include:
● Microsoft Azure
● AWS
● Google Cloud
● Databricks
● Snowflake
Supported LLMs include:
● OpenAI
● Anthropic
● Google Gemini
● Vertex AI
● Grok
● Open-source models
Astra (Agentic system for tracking and research analytics) is SGA’s proprietary multi-agent orchestration solution designed for Investment Research workflows.
Governance is embedded across every accelerator through:
● Ethical AI decision-making
● Bias mitigation
● Observability and audit trails
● Data privacy and PII protection
● Compliance frameworks including GDPR, ISO 27001, and SOX
● Human oversight
SGA’s deployments span:
● Financial services
● Asset management
● Insurance
● Environmental services
● Publishing
● Education
SGA delivers contextual-solutions-powered AI accelerators to drive a faster development cycle and custom deployment aligned to client tech stack. These deployments are client-owned, unlike SaaS offerings, which are licensed.
SGA integrates with existing enterprise AI investments through:
● Legacy integration
● API interoperability
● Agent frameworks such as ADK and MCP
● AI maturity assessments
● Technical roadmap development
SGA offers the following models, each with its dedicated delivery teams and access to domain experts:
● Full-time engagement
● Fixed-scope projects
● Experts deployed as extended teams