AI that ships. Not demos.
Voice AI, fraud detection, autonomous agent pipelines, and computer vision. Built as deployable production services with SLAs, not laptop notebooks that work on the demo dataset.
What is the LoneSock AI and ML service?
A production AI engineering practice that builds voice AI, NLP, fraud scoring, autonomous agent topologies, and computer vision as deployable services. Inference defaults to Groq for open Llama models, with self-hosted models on the KaritKarma Tier-3 DC for regulated workloads.
Where a KaritKarma product (Aegis for fraud, NewsForge for editorial agents) already solves the shape of the problem, we present it as one platform option. Where the client needs a custom build, we ship a standalone codebase the client owns outright.
Four areas, each backed by a shipped product.
The capability is not a slide. It is a system already running in production for a paying customer.
Voice AI
Sub-500 millisecond end-to-end response. Structured conversation state machines. GDPR-friendly ephemeral audio.
Sub-500ms end-to-end latency targetFraud Detection
Three-layer cascade (rules, statistical, ML) with sub-50 millisecond scoring. Built for banks and mobile financial services. Live at aegis.karitkarma.com.
Sub-50ms scoring latencyAutonomous Agents
Multi-stage agent topologies with tool schemas, guardrails, and human-in-the-loop checkpoints. Proven on the NewsForge editorial pipeline.
NewsForge pipelineComputer Vision
CLIP embeddings for semantic image search. Facial recognition for Professional Vault. pgvector for similarity search across large media catalogs.
CLIP vision embeddings
LoneSock vs specialist AI agency vs in-house team.
| Dimension | LoneSock | Specialist agency | In-house team |
|---|---|---|---|
| Production track record | Aegis, NewsForge shipped | Often demo-grade | Depends on hires |
| Provider lock-in | Groq default, self-host optional | OpenAI or Anthropic typically | Depends on procurement |
| Source code ownership | Standard | Sometimes | Built-in |
- Production track record
- LoneSockAegis, NewsForge shippedSpecialist agencyOften demo-gradeIn-house teamDepends on hires
- Provider lock-in
- LoneSockGroq default, self-host optionalSpecialist agencyOpenAI or Anthropic typicallyIn-house teamDepends on procurement
- Source code ownership
- LoneSockStandardSpecialist agencySometimesIn-house teamBuilt-in
Frequently asked.
What is the LoneSock AI and machine learning service?
It is a production AI engineering practice. We build voice AI, NLP, fraud detection, recommendation engines, autonomous agent topologies, and computer vision systems that run as deployable services, not Jupyter notebooks. Inference is typically Groq for open Llama 4 and Llama 3 models, with self-hosted models on the KaritKarma Tier-3 DC for regulated workloads.
Which AI providers do you use in production?
Groq is the default cloud inference provider for Llama 4 and Llama 3 models. Self-hosted models run on the Tier-3 data center for clients with data residency requirements. OpenAI, Anthropic, or Google providers are used only when a client specifically requests them and accepts the cost and data flow.
Can you build a voice AI that sounds natural?
Yes. We build voice AI as a structured conversation state machine on low-latency inference, targeting sub-500 millisecond end-to-end response. The pattern fits ordering lines, receptionist agents, in-app voice assistants, and call-center automation.
Do you do fraud detection for banks and mobile financial services?
Yes. Aegis is the anti-fraud transaction protection platform built on a three-layer cascade (rules, statistical, ML) with sub-50 millisecond scoring latency. Live at aegis.karitkarma.com and deployable on-premise for regulated environments.
Can you build autonomous agent systems?
Yes. NewsForge runs an editorial pipeline of agents covering source monitoring, drafting, fact verification, translation, SEO, and distribution. The same topology pattern (tool schemas, guardrails, human-in-the-loop checkpoints) transfers to research, support, and operations agents.
How does this compare to hiring an AI consultancy in the US or EU?
The engineering is comparable, the rate is not. LoneSock bills at $40 per hour because the cost base is Dhaka. Source code is delivered, so you are not locked into a managed prompt-stack subscription. KaritKarma products (Aegis, NewsForge) are presented as battle-tested options, not as the only path forward.
Ready to build production AI?
Systems that work at scale, not demos that impress in meetings.
- Principal
- Lutfar Rahman (Nirjhar), CEO
- [email protected]
- Office
- 13/1 Sonargaon Road, Planners Tower L19-S5, Dhaka 1000, Bangladesh