AI Engineering
Autonomous Agents, Voice AI & Custom LLM Systems
Off-the-shelf AI tools hallucinate on your domain, break under load, and can't integrate with your existing systems. We build what you actually need: production-grade multi-agent systems that autonomously execute complex workflows, sub-second Voice AI pipelines with real telephony integrations, custom RAG engines over your private data, and fine-tuned LLMs that speak your industry's language — all built to enterprise security and latency standards.
Enterprise Deliverables & Guarantees
Every AI Engineering deployment includes single-tenant isolation, encrypted pipelines, and guaranteed SLA support — delivered in 10–12 weeks.
Domain Challenges → Targeted Engineering Fixes
How our senior engineering teams solve the most complex technical and operational hurdles in AI Engineering.
Generic LLMs hallucinating on proprietary domain data, producing unreliable outputs in enterprise workflows
Unoptimized legacy systems create latency spikes, rising cloud infrastructure costs, security risks, and technical debt accumulation.
Custom production RAG pipelines with hybrid dense-sparse vector retrieval, re-ranking layers, and <45ms P95 latency
Autonomous, tool-using agents that plan, reason, and execute multi-step business workflows without human oversight.
Unacceptable latency in real-time voice and conversational AI — customers hang up, employees abandon the tool
Unoptimized legacy systems create latency spikes, rising cloud infrastructure costs, security risks, and technical debt accumulation.
Autonomous multi-agent systems orchestrated with LangGraph and AutoGen — handling multi-step, multi-tool enterprise workflows end-to-end
Real-time conversational voice agents with sub-second ASR and TTS — deployable on phone lines, web, and mobile.
Multi-step business processes requiring coordination of multiple AI agents, tools, and data sources simultaneously
Unoptimized legacy systems create latency spikes, rising cloud infrastructure costs, security risks, and technical debt accumulation.
Ultra low-latency Voice AI built on WebRTC and LiveKit — real-time ASR, LLM reasoning, and TTS under 800ms round-trip
Domain-adapted language models fine-tuned on your proprietary data with custom guardrails, evals, and serving infrastructure.
Vector search breaking at scale — millions of documents, inconsistent retrieval quality, and rising infrastructure costs
Unoptimized legacy systems create latency spikes, rising cloud infrastructure costs, security risks, and technical debt accumulation.
Domain-specific LLM fine-tuning via LoRA on your proprietary datasets, with red-teaming, guardrails, and continuous eval harnesses
Hybrid vector + keyword retrieval pipelines over private enterprise knowledge bases with re-ranking and citation tracking.
Specialized Capabilities
AI Agents
Autonomous, tool-using agents that plan, reason, and execute multi-step business workflows without human oversight.
Voice AI
Real-time conversational voice agents with sub-second ASR and TTS — deployable on phone lines, web, and mobile.
Custom LLM Applications
Domain-adapted language models fine-tuned on your proprietary data with custom guardrails, evals, and serving infrastructure.
RAG Systems
Hybrid vector + keyword retrieval pipelines over private enterprise knowledge bases with re-ranking and citation tracking.
AI Chatbots
Omnichannel enterprise chat interfaces across web, WhatsApp, Slack, MS Teams, and custom platforms.
Multi-Agent Systems
Collaborative agent swarms — supervisor, executor, and critic agents — handling complex, parallelizable enterprise workflows.
AI Copilots
Domain-specific AI assistants embedded directly into your team's existing tools and dashboards.
Workflow Automation
Intelligent document processing, OCR, classification, and automated triage pipelines with human-in-the-loop approval gates.
Execution Framework
System Architecture
Designing vector index schemas, agent graph topologies, LLM routing logic, and data ingestion pipelines.
Core Engineering
Building RAG engines, fine-tuning models, writing tool integrations, and implementing agent memory and state management.
Evaluation & Red-Teaming
Automated regression testing, adversarial prompt injection testing, and accuracy scoring against domain-specific golden benchmarks.
Production Deployment
Kubernetes-scale deployment with real-time latency monitoring, token cost dashboards, and drift detection alerting.
Measurable ROI Outcomes
Every AI Engineering engagement is benchmarked against quantified business outcomes — not effort hours or feature counts.
Production P95 response time on dedicated vector infrastructure with hybrid ranking
Compared to equivalent manual human processing at enterprise scale
Verified on held-out golden benchmark datasets specific to your domain
Want us to model ROI for your specific situation?
We build a custom business case document for qualified prospects — no commitment required.
Customize Stack Architecture
Test how models, frameworks, vector search, and security vaults interact in real-time for AI Engineering.
Related Case Studies
Frequently Asked Questions
Why enterprises choose Taraqqe
There are hundreds of AI consultancies. Here is what makes the difference for the enterprises that have hired us.
Zero Data Retention. Always.
SOC 2 AuditedYour prompts, documents, and query data are never logged, stored, or used to improve any third-party model. Every deployment runs under a signed Zero-Data-Retention agreement. Your intellectual property stays yours.
Production-Grade, Not PoC Demos
P95 BenchmarkedWe build systems that survive the real world — evaluated against adversarial prompts, load-tested at 10× expected volume, and monitored in production from day one. No proof-of-concept theater.
World-Class Engineering at Honest Pricing
Global StandardsOur team is based in South Asia — the same region that engineers systems for Google, Amazon, and Microsoft. You get senior AI engineers with global credentials at a cost 40–60% below equivalent Western firms.
100% IP Transferred. No Lock-In.
IP Assignment IncludedEvery line of code, every model weight, every infrastructure script — fully assigned to your organization on final milestone. We sign a comprehensive IP assignment agreement at kickoff. You are never dependent on us.
Embedded, Not Outsourced
Team Extension ModelOur engineers join your Slack, attend your standups, and commit to your repositories. We work as an extension of your team — not a black-box vendor that disappears after delivery.
Compliance Built In, Not Bolted On
Multi-Framework ReadySOC 2, HIPAA, ISO 27001, GDPR, PCI-DSS — our security controls are implemented from sprint one, not reviewed before launch. Your auditors receive full evidence packages, not promises.
Industries that use AI Engineering
This capability is deployed across regulated and high-growth sectors globally. Explore the sector-specific implementation blueprints below.
Engagement Models
Every engagement is scoped to your situation. Choose the model that fits your timeline, budget, and desired level of involvement.
Fixed-Scope Delivery
A clearly defined deliverable with agreed scope, timeline, and milestones. Best for discrete AI systems, product launches, or infrastructure projects where requirements are well-understood.
- Fixed project scope document
- Milestone-gated delivery sprints
- 60-day post-launch warranty
- Full IP transfer on completion
- Dedicated project lead
Ongoing Engineering Partner
A dedicated monthly engineering pod embedded with your team. Ideal for organizations building multiple AI products, requiring ongoing iteration, or growing a product roadmap continuously.
- Dedicated engineering team
- Defined monthly delivery hours
- Prioritized sprint backlog
- Weekly architecture reviews
- SLA incident response
Executive AI Advisory
Strategic AI guidance for boards, founders, and executives. We translate technical complexity into decisions — without committing to full-scale engineering. Perfect for pre-investment AI diligence or strategy.
- Bi-weekly executive sessions
- AI readiness benchmarking
- Vendor and build vs. buy analysis
- Roadmap and risk review
- Board presentation support
Not sure which model fits?
Every engagement starts with a no-obligation strategy call. We will recommend the right model after understanding your situation — no sales pressure.