Production voice operators with real-time STT/TTS, barge-in handling, telephony integration (SIP/PSTN), and mid-call tool execution — CRM lookups, database writes, transfers.
Conversational agents deployed on web, WhatsApp, and internal tools that resolve queries, collect structured data, and escalate with full context when needed.
Event-driven agents that execute multi-step business processes — procurement approvals, compliance checks, report generation — with audit trails and approval gates.
Ops automation and auto-remediation: agents that monitor systems, detect anomalies, trigger runbooks, and escalate to humans only when thresholds are breached.
Internal assistants trained on your documentation, SOPs, policies, and product manuals — answering employee questions with source citations and confidence scores.
Compliance and policy copilots that surface the right clause, rule, or guideline from thousands of documents — with version tracking and audit trails.
Production-grade RAG pipelines: chunking strategies, hybrid search (dense + sparse), re-ranking, caching, and context window optimization for accurate retrieval at scale.
Hallucination detection, toxicity filters, topic boundaries, and automated eval harnesses that test your copilot against ground-truth datasets before every deployment.
Snowflake, BigQuery, Redshift, or Databricks — designed for your scale. Schema design, partitioning, access control, and cost governance from day one.
ETL/ELT, CDC, event ingestion — built with Airflow, dbt, Kafka, or Spark. Orchestrated, monitored, and designed to handle failures gracefully.
Governed KPI definitions that mean the same thing across every dashboard and report. No more "my numbers don't match yours" conversations.
Automated data quality checks, lineage tracking, freshness monitoring, and alerting — so you know when something breaks before your stakeholders do.
End-to-end training and inference pipelines — feature engineering, model selection, hyperparameter tuning, and deployment with A/B testing and shadow mode.
LoRA, QLoRA, and full fine-tuning for domain-specific LLMs — applied selectively where prompt engineering hits its limits and ROI justifies the cost.
Automated eval harnesses, drift detection, latency tracking, and cost-per-inference dashboards — MLOps/LLMOps that keeps models honest in production.
Full-stack modernisation: API redesign, monolith-to-service migration, React/Next.js frontends, Flutter mobile apps — built for scale and maintainability.
Infrastructure as Code (Terraform), CI/CD pipelines (GitHub Actions, Azure DevOps), Kubernetes orchestration, and developer experience improvements.
CRM, ERP, ATS, BI tool integrations — REST, GraphQL, webhooks, event-driven. We make your systems talk to each other reliably.
Lift-and-shift or re-architect. AWS, Azure, GCP — with proper networking, security, cost modelling, and rollback plans.
Logs, metrics, traces, SLO design, error budgets, and incident response playbooks — so you detect and resolve issues before users notice.
Load testing, latency profiling, database query optimization, caching strategies, and CDN configuration — making fast systems faster.
Cloud spend analysis, right-sizing, reserved instance planning, cost-per-transaction tracking, and automated cost alerts — saving 20–40% on cloud bills.
Vulnerability scanning, secret management, IAM policies, network segmentation, compliance controls (SOC2, ISO 27001), and security incident response.
Senior and mid-level engineers who join your team directly — attending your standups, using your repos, following your processes. Indistinguishable from in-house, except faster to onboard.
Pre-formed 2–4 person squads with complementary skills (e.g., ML engineer + data engineer + backend dev) deployed as a unit to tackle scoped problems end-to-end.
Monthly rolling contracts. Scale from 1 engineer to a full squad. Ramp up in under a week, wind down with 30 days notice. No recruitment fees, no long-term lock-in.
LLMOps engineers, RAG specialists, voice agent architects, MLflow/infra experts, Kubernetes platform engineers — niche roles that take months to fill through traditional hiring.
.svg){kind=icon}
