Evaluate, Implement, and Integrate AI Workflows into your organisation
We help organisations design, deploy, and scale agentic workflows: from Chat+RAG and Voice Agents to Multimodal automations and AI layers over your existing platforms.
Our Focused Expertise
Leading the charge in MCP development and AI-powered applications
MCP Development
Empower your AI applications with secure, standardized access to external data sources and tools through the Model Context Protocol (MCP). We deliver end-to-end MCP server development, client integrations, and custom solutions that unlock the full potential of AI ecosystems, enabling seamless data flows, enhanced context awareness, and unprecedented interoperability across platforms.
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Services
Chat and RAG Integration
Deploy domain-grounded assistants that answer with citations, securely connected to your data silos.
- Retrieval strategies (hybrid, semantic, structured)
- Evaluation harness (faithfulness, hallucination, latency)
- PII redaction and access control
Voice Agent Implementation
Real-time, low-latency voice agents for support, sales, and internal ops with tool use.
- Streaming TTS/ASR, barge-in, turn-taking
- Toolformer-style function calling
- Call analytics and QA dashboards
Social Media Automation
End-to-end content generation, scheduling, and analytics with brand-safe controls.
- Multimodal templates and brand memory
- Auto A/B tests and engagement scoring
- Pipeline to X/LinkedIn/Instagram
Traccar AI Layer
Intelligent insights on GPS/telemetry data with anomaly detection and agentic alerts.
- Trajectory clustering and event inference
- Geo-fencing, incident summarization
- Driver behavior and ROI dashboards
ERPNext AI Layer
LLM-native workflows across ERP: procurement, support, finance and more.
- Actionable agents over ERPNext models
- Semantic search and copilots
- Closed-loop metrics and guardrails
Domain Memory & Context
Structured memory architecture for reliable multi-step reasoning across sessions and teams.
- Entity, episodic, and procedural memory
- RAG over memories + vector/RDBMS
- Governance and retention policies
Training & Finetuning
Data curation, SFT, DPO/ORPO and evaluation loops for domain-specialized models.
- Dataset pipelines and quality gates
- Eval suites: BLEU, BERTScore, G-Eval
- On-prem or managed endpoints
Generative Logic & Evaluations
Embed generative checks and program synthesis within your workflows for reliability.
- Self-reflection and tool-augmented evals
- Test-time compute and routing
- Policy constraints + observability
FOSS ETL Pipelines
Design and deploy robust, FOSS-first ETL/ELT for AI data readiness and governance.
- Airbyte, Meltano, dbt, DuckDB
- Quality checks and lineage
- Lakehouse-ready, cost efficient
Unstract
Document processing pipelines with AI extraction and validation at scale.
- Layout-aware parsing and schema mapping
- Human-in-the-loop validation
- Audit trails and SLAs
Multimodal Agentic Workflows
Agents that see, hear, and act—coordinating tools across modalities and systems.
- Image/Video reasoning, audio IO
- Tool orchestration and memory
- Safety and evaluation harness
Comprehensive Domain-Specific AI Services
A complete suite of AI capabilities tailored for various industries, including predictive analytics, NLP, generative AI, and computer vision solutions.
- Predictive models for business intelligence
- Advanced NLP and text processing
- Generative AI and LLM integrations
- Vision AI and multi-modal systems
- Industry-specific applications
Case Studies
Domain-grounded Support Copilot
Designed and deployed a secure Chat+RAG copilot that consolidates tribal knowledge and institutional docs into a reliable, citation-first assistant. The copilot now underpins L1 support with measurable accuracy and response time improvements.
24/7 Voice Agent for Field Ops
A real-time, barge-in capable voice agent that schedules jobs, dispatches crews, and posts updates to internal systems—maintaining natural, interruption-friendly conversations even in noisy environments.
FOSS-first AI Data Layer
A cost-efficient, open-source-first data platform that standardizes ingestion and transformation to serve downstream AI use-cases, with testing, lineage, and observability baked in.
Multimodal Agents for QA
Agents that triage incidents by synthesizing screenshots, logs, metrics, and voice notes—isolating root cause and proposing fixes with traceable evidence.
Our Tech Stack
Let's architect your AI workflow
Get a free discovery call to map the ROI, data readiness, and integration path for your first or next agentic system.